Weekly Summary

This week our subgroup discussed various chassis, plasmids, parts, and signal peptide sequences to ultimately come to a finalized decision on the technical aspects of our project and construct. At the start of the week, we decided to use Bacillus subtillis for our chassis, but then after researching the advantages and disadvantages of this chassis compared to E. coli, we ultimately decided to use E. coli strain BL21 (DE3) for our chassis. In regards to cloning, we will utilize the Golden Gate Assembly technique to put our construct together. In all, there will be four parts (promoter + RBS; signal peptide; 6XHIS + 6GIX; double terminator) that will be assembled for our construct. Additionally, we determined a part to improve for our gold medal requirements; the Golden Gate Flipper BBa_K1467400 by changing the construct to include a constitutive promoter, a stronger RBS site, and a bidirectional terminator. This part will be used to make pSB1C3 golden gate compatible. Finally, we worked with our modelling team to create PDB files of protein models which contain the various signal peptides with the 6XHIS tag and the 6GIX protein. The files will be used by our modelling team to figure out any problems that may arise during protein folding, and the protein interactions in the emulsion.

Weekly Summary

This week, our subgroup finalized our parts design after recieving confirmation via protein modelling that our chosen tags shouldn't negatively impact protein structure stability. We registered with IDT and we will order our parts as gBlocks from them as soon as they contact us. In addition, we ordered the Golden Gate Flipper (BBa_K1467400) from the iGEM registry. In the lab, we prepared for cloning work by creating chemically competent E. coli DH5-alpha cells. Outside of the lab, members of our subgroup focused on many aspects of our human practices work including several visits to Webber Academy to give an educational talk about synthetic biology, work on our synbio education package, and entreprenuership activities. We also pursued various funding opportunities and began to create a sponsorship package for the team.

Weekly Summary

We spent the first half of this week conducting a very thorough lab clean-up and taking inventory of our supplies. In the middle of the week, the wet lab ordered all of our parts from IDT. To our surprise, half of them arrived within the week! We will begin work to clone them into our donor plasmid (pSB1C3) next week. Outside of the lab, we continued various human practices activites, including meeting with canola farmers and working on our synthetic biology training package.

Weekly Summary

We recieved all of our parts from IDT throughout the course of this week, and began the process of cloning each part into our donor plasmid (pSB1C3) before use in Golden Gate reactions. Initial confirmation of cloning success was obtained via colony PCR reactions. By the end of the week, we were able to sequence confirm one of the signal peptides (PhoA signal peptide) in pSB1C3. We also PCR-amplified all of the IDT GBlocks in order to increase the amount of DNA that we have to work with. Cloning efforts will continue next week. Members of our subgroup also focused efforts on the Mindfuel Seed Fund application and preparation for our Faculty Talk presentation.

Weekly Summary

After optimization of our colony PCR protocol early in the week, we continued to clone all of our parts into the donor vector (pSB1C3) and the Golden Gate RFP Flipper into the destination vector (pSB1A3). We screened these ligations using colony PCR. Attempts at digest confirmations throughout the week were not successful, so we resorted to DNA sequencing. We were able to sequence confirm one more signal peptide in pSB1C3 (MalE), and we are waiting on the sequencing results for others. Aside from cloning, we gel-purified the IDT GBlocks that were PCR-amplified last week. We also began experiments to validate models that will be used to determine the chlorophyll concentration in canola oil. We also focused on preparations for our Faculty Presentation that will occur early next week.

Weekly Summary

Early in the week, we recieved positive sequencing results for several signal peptides (OmpA, TorA, and DsbA) and the 6XHis-6GIX coding sequence in pSB1C3, as well as our improved Golden Gate RFP Flipper in pSB1A3 (our destination vector). Once we confirmed the destination vector, we were able to proceed with our first Golden Gate reactions. We used a combination of PCR products and parts in donor vectors for these reactions in order to create all six of our constructs (one for each different signal peptide). After transformation, we had some white colonies that putatively indicate successful Golden Gate reactions. Further analysis will be performed on these colonies. Efforts continued in cloning the other IDT parts into pSB1C3. We also recieved our 'no signal peptide' control construct from IDT and began cloning it into pSB1A3. We were observing some satellite colony growth on our LB agar plates containing ampicillin, so we spent some time on optimization to reduce the issue. We also performed a ligation control for the EcoRI/PstI digests, which showed no growth and therefore helped us determine that in the absence of a digested IDT GBlock, the digested linearized backbone will not religate closed. More replicates for the experiments validating the chlorophyll concentration in oil models were performed this week.

Our team gave a presentation to faculty members and other researchers at our university this week, and we recieved value feedback about our project and experimental plans. In addition, we attended CanolaPALOOZA in Lacombe, Alberta. This event brings together many members of the canola farming and canola oil industries, and therefore gave us a valuable opportunity to conduct some human practices work.

Weekly Summary

Throughout the week, we worked towards confirming all of our constructs via colony PCR. This analysis was followed by digest confirmations, but once again these did not work correctly. Colonies that appeared to contain the correct construct were sent for sequencing, and we are awaiting results. In the meantime, we began transforming the putative assembled constructs into BL21 (DE3), which is our expression chassis. We repeated the Golden Gate reactions for the constructs that have not yet been successfully assembled. We were still having difficulties with satellite colony growth on our LB agar with amplicillin plates, so we tested different antibiotic concentrations. We also tried to mitigate this issue by making streak plates of the promising colonies. Our team also ran a bottle drive this week to fundraise for our travel expenses.

Weekly Summary

Since we were having difficulties with ampicillin for use with pSB1A3, we started this week by attempting to switch our destination vector to pSB1K3. Unfortunately, none of the ligation transformations showed any growth, so we quickly abandoned this idea and stuck with streaking instead. We received sequencing results that showed that our 'no signal peptide' control construct had successfully been cloned into pSB1A3. Efforts to transform this part into E. coli BL21 (DE3) began this week. The sequencing reaction for our Golden Gate-assembled construct sent last week unfortunately failed. We PCR-amplified all of our GBlocks from IDT to create DNA stockpiles for performing Golden Gate, and then repeated all of the Golden Gate reactions again. In addition, we repeated our colony PCR screening for all of the colonies that are white in appearance, indicating that the assembled construct has replaced the RFP flipper in the destination vector. Constructs containing the signal peptides from DsbA, MalE, OmpA, PhoA, and TorA showed positive cPCR results and were sent for sequencing. The construct containing the 'YcbK' signal peptide was cPCR-confirmed later in the week and will be sent for sequencing next week. We also began the process of transforming all of the constructs containing signal peptides into E. coli BL21 (DE3). Members of our subgroup also took part in education and outreach work this week by beginning to plan an informational 'Bacteria Night' event.

Weekly Summary

By the end of this week, we were able to assemble all of our constructs using Golden Gate Assembly. And we were able to sequence confirm all of our constructs and transform them into E. coli BL21 (DE3). We began preparing the necessary reagents for SDS-PAGE and became acquainted with many new protocols. We cultured and induced E. coli BL21 (DE3) that were untransformed or transformed with our 'no signal peptide' construct, then processed these samples and ran whole cell lysate fractions on SDS-PAGE gels. Unfortunately, we were unable to produce an SDS-PAGE gel that was able to be effectively run our samples. We will continue to experiment with different SDS-PAGE gel protocols in the weeks to come.

Weekly Summary

At the beginning of the week, we got evidence that our 6GIX protein was successfully produced both in induced and uninduced cultures. However, when we attempted to replicate our results we ran into troubles regarding the staining and destaining of the gels. After multiple trials of the SDS-PAGE gel we ultimately discovered that the coomassie gel staining solution using Coomassie R-250 is the best at staining the gel, and will be using this stain for future gels.

Weekly Summary

This week we continued trying to replicate our gel results from last week which had shown successful expression of the 6GIX protein. However, even after using the correct staining compound, the gels did not convey a significant amount of protein was being produced. We also ran samples from the periplasmic extractions from the signal peptide constructs, but again did not see any significant results. To attempt to figure out the source of our troubles regarding protein expression, we obtained and used new tubes of IPTG when inducing, and discarded the old stocks of IPTG. Additionally, we also started trying to create an emulsion system, but did not obtain any promising results. Next week, we will continue troubleshooting our protein expression and emulsion protocols.

Weekly Summary

This week we began our first attempt at protein purification using a Ni-NTA column. We also modified different components of our current protein expression method to figure out where we have been going wrong with protein expression. We tested two different IPTG samples (from another lab and our stocks) and also ran a positive control (a construct from our RA, Marija's old lab) to test our protein expression protocol's validity. We also detected contamination in our BL21 glycerol stocks, so made a new glycerol stock after confirming with cPCR.

Weekly Summary

This week we focused on protein purification of the no signal peptide construct and pSB1A3 empty vector control as well as preparing the 'registry flipper' BBa_K1467400 for comparison with the flipper we created. Initially, we had thought the problem for our protein purification had been our IPTG sample, but after comparing samples with our IPTG and Marija's IPTG,we realized they were both functional. From this, we decided to experiment on the amount of IPTG added to induce the samples and compared samples with 1mM and 2mM IPTG. However, we still did not see a band of the correct size for our protein. Thus, next week we will be sending the No-SP BL21 glycerol stock for sequencing to check for any mutations. In regards to the 'registry flipper', the week was spent following the procedures to get the flipper into pSB1A3 in order to compare it with the flipper we have been using.

Weekly Summary

This week we continued to troubleshoot our protein purification protocol, and sent a sample of No signal peptide construct from a new BL21 streak plate to sequencing. In regards to protein purification, we subcultured and induced 1mM IPTG for No SP old plate, No SP new streak plate, and pSB1A3 empty vector control. However, we tested the OD and processed samples at different induction times including after 8 hours, 16 hours, and 24 hours to see if there was an optimum induction period for protein expression. Our efforts in protein expression halted on Thursday, when our sequencing results returned showing mutations which caused a frameshift interfering with protein production. We finally discovered the source of all our issues with protei010n production and purification! Now the plan is to send the original miniprepped sample of No SP construct, No SP in DH5a, and No SP in new BL21 cells to sequencing to see if the mutations are present at all stages of our experimental process and go from there.

Weekly Summary

We finally gained more evidence of successful protein expression after discovering the mutation and troubleshooting accordingly, and were able to create more replicates. We are still in the process of obtaining results for the periplasmic isolations from the signal peptide constructs, and will continue to work towards these in the weeks to come. We also started preparing for the comparison of our improved RFP flipper to the registry flipper (pSB1A3-BBa_K1467400) by attempting to clone the parts into the same type of plasmid (pSB1A3 or pSB1C3).

Weekly Summary

We received our engineered version of 6GIX (called ModGIX) and set up ligations into pSB1C3 and pSB1A3. We continued making more replicates of our protein purification samples, and did periplasmic extractions from our signal peptide cultures. Additionally, we attempted to gather data for our comparison between the improved flipper and the registry flipper, but the streak plates grew too slowly, so we will attempt this again next week.

Weekly Summary

This week we continued creating more replicates for the periplasmic extractions from the signal peptide construct cultures. As was evident in previous weeks, the construct with MalE seems to be the most promising in secreting our protein. Additionally, we continued attempting to ligate the ModGIX construct into pSB1A3, and purified more 6GIX protein from the no signal peptide construct.

Weekly Summary

This week we sent our miniprep of the ModGIX-pSB1A3 to sequencing, and discovered that it was actually our no signal peptide construct. We also processed cultures of the no signal peptide and control, which will be purified next week. Besides this, we began preparing for one of our events, Bacteria Night by making a streak plate with the colored bacteria that we have.

Weekly Summary

We attempted our first western blot for the 6GIX protein from the periplasmic extractions and the no signal peptide cultures, but will need to troubleshoot in the weeks to come. Additionally, we continued purifying more 6GIX protein and continued gathering replicates for the periplasmic extractions from the signal peptide constructs. Finally, we took the time to restock lab consumables and clean the lab.

Weekly Summary

Similar to previous weeks, we continued purifying more protein to be used in the emulsion experiments, as well as created more replicates of our periplasmic extractions. Though we received confirmation of the presence of the 6GIX protein from the no signal peptide cultures, there was no confirmation that the ModGIX protein was being produced. We will continue to troubleshoot protein expression of ModGIX in the future. We also miniprepped the RFP-flipper parts from the registry, pSB1C3-BBa_K1467100, pSB1C3-BBa_K1467200, pSB1C3-BBa_K1467300, and pSB1C3-BBa_K1467400 in preparation for further characterization of these parts.

Weekly Summary

We had the task of modelling chlorophyll degregation to its derivatives allowing us to know the respective concentrations over time and which pathways will be more favored in the process. This is useful for knowing which enzymes to overexpress to obtain the desired derivative after chlorophyll a and b have been extracted from the canola oil.

For a separate model, we were given the task to simulate an environment with a chlorophyll binding protein. The end goal is to feed homologies from the protein previously discovered (called 6GIX) into our simulations and measure the respective fitnesses (assuming 6GIX is incompetent of binding to ligands dissolved in oil). Fitness would be measured by its binding affinity to chlorophyll that is dissolved in the surrounding oil and its ability to maintain a steady state (resist denaturation). So we hit the ground running with GROMACS - a computational chemistry software that simulates molecule interactions with great detail. It is of vital importance that we are given access to ARC - the supercomputer hosted at the University of Calgary which will drastically speed the times of our simulations. We started using a Linux machine to install the massive software - we chose the "quick and dirty" installation (which still took 1 hour).

We started our first simulation with the goal of observing our protein in water for one nanosecond (the basic tutorial was followed here: http://www.mdtutorials.com/gmx/lysozyme/index.html). The environment was captured in a box the size of 6GIX with only a 1nm gap measured off the maxima of 6GIX in all directions. From there we placed the protein topology with the four chlorophyll ligands removed as a .pdb file and added a respective amount of solvate (water). 6GIX has a -10e charge without its ligands so to ensure charge balance 10 sodium ions were added to the scene. These steps did not take long to produce for our linux desktop however the next steps of getting the protein to its minimum energy state and creating equilibrium for temperature and pressure took around three days to simulate. The last step of the simulation which would produce molecular dynamics of the system for one nanosecond was unable to finish before we decided to rerun this simulation of ARC.

While ARC was processing out job we looked into instaling VMD (Visual Molecular Dynamics), a software that takes the simulation output from GROMACS and creates a graphical representation of it. From here we can visualize molecular positions in timesteps less than a nanosecond and make use of scripting to measure fitnesses of the protein - how this measurement will be done is still being looked into. We discussed our next simulations and decided on a few intermediary models before we simulate the most crucial one that will be most applicable to our project. We would be wasting computing if we went straight to the most advanced simulation without knowing whether the protien in question can even be partially in oil in the first place (let alone take chlorophyll out of oil). Our next intermediary simulation will be immersing the protein in oleic acid (which composes 61% of canola oil) to see how GROMACS simulates and handles denaturation (6GIX is insoluble in lipids).

Chlorophyll degradation kinetic models began to be developed. Literature shows that only a first order rate law mechanism has been proposed for chlorophyll degradation studies. This model has been previously use to characterize degradation for in-vivo experiments in coleslaw, olives, pickles, and other foodstuff. Model pathway considers 2 parallel pathways, (1. chlorophyll -> chlorophyllide -> pheophorbide) & (2. chlorophyll -> pheophytin -> pheophorbide). No particullar consideration was given to the enzymes or any of the "hydroxymethyl" intermediates in the chlorophyllide B pathway. Given explanation for this particular model seems to be that A & B pathways share the chlorophyllase and Mg-dechalatase enzymes, so the chemical groups can be lumped into one (model does not consider cofactor concentration, cycling, or conversion between chlorophyll A and B). Experimental data from papers seems to fit model fairly well, however this may be due to large experiment periods. Matlab scripts for the first order rate law were written to hopefully measure the validity of the model with in-vitro data.

Weekly Summary

Work on chlorophyll degradation models continued. Continued literature review did not reveal any new kinetic mechanisms in the suggested pathway - however a small amount of studies do outline thermal and pH effects, as well as propose models for this. Possible reasons that new mechanisms have not/rarely been considered is because of natural species concentration in vivo, long reaction time, and a lack of relevance in industrial processing. Mechanisms have to be proposed then, for each intermediate step and parameters have to be obtained from experimental results from best fit data.

Enzymes between each step began to be studies, to determine the best potential mechanism. Currently, michaelis-menten model would seem to be a possibility for degradation of both chlorophyll A and B to chlorophylide A, however it does not take into consideration selectivity for either - (paper shows that the B pathway is selectively favorable for some reason). Other potential mechanism is ping-pong, but there is no evidence to suggest that the enzyme is tranformed between complexes for any reason (yet). Ping-pong might be a good choice for any of the "mirror-steps" but, there is no evidence to suggest enzyme transformation - more reading into mechanisms must be considered.

Chlorophyll degradation subgroup and model workflow were redefined. Instead of looking to optimize parts sequence to maximize amount of each enzyme produced, enviornmental conditions should be optimized first. Initially, kinetic data will be produced for experiments between each step (chlorophyll B to chlorophyllide B via chlorophyllase enzyme). Once trials are performed and kinetic parameter, experiments with the entire systme will be done at once - so cofactor concnetrations, pH, and temperature will be optimised for this experiment with the kinetic models. An inducible expression model defining the rates of production for each enzyme can also be built, but was deemed to be possibly too dificult, and not a priority. Scirpting work was continued, with an emphasis on the model framework itself. Essentially, enzyme mechanisms, parallel rate law systems, fitting and optimization algorithms are being structured independently so when experimental data is available, model framework is set up and ready to go.

Weekly Summary

Protein modelling:

We finished the simulation of 6GIX solvated in oil and GROMACS blew up, giving us fatal errors due to too large of molecule movement. This is not anything interesting because we thought that 6GIX would denature in oil. We found packmol which is a program that offers a more intuitive interface for setting up MD (Molecular Dynamic) environments to use in GROMACS. Packmol takes some time to export these environments, and currently we are building an environment where 6GIX is half solvated in oleic acid and half solvated in water. Another environment (which is the most analogous to the applicability of our project idea) is being built as well, however we are struggling getting the data structure for chlorophyll and the number of molecules needed within the area specified that would constitute a liquid phase. This model would encapsulate 6GIX in a sphere of water with oil outside of this sphere which would contain dissolved chlorophyll. It is in this simulation where we would hope to see chlorophyll move across the surfactant layer and bind with 6GIX in the water. We also are looking to measuring the fitness of 6GIX by evaluating the free binding affinity which can presumably be measured computationally. The main issues looking forward are how the binding affinity is affected for later ligands after one ligand attatches - the optimal number of ligands 6GIX can contain is unknown at this point. Another issue is simulating 6GIX with a histone tag, which is needed for the protein extraction after E.Coli produces its complex. To add a histone tag to a .pdb file might best be accomplished using the software pymol.

Degradation Modelling:

Degradation pathway was redefined to sequential steps: Chlorophyll B -> 7-hydroxymethyl Chlorophyll a -> Chlorophyll a -> pheophytin a -> pheophorbide a. Respective enzymes for each reaction are: Chlorophyll b reductase, 7-hydroxymethyl chlorophyll a reductase -> Mg-dechalatase -> pheophytinase.

New workflow: continue to set up scripts indipendent of experiments -> using MM mechanism for all, will be developing ratio tests for the 2-step assays - have not looked at temperature, pH, or cofactor dependence yet. For temp, initially will be using arrhenius correlation - some literature has shown adding a cp*pH term fits pH, but this is done on fruit over large periods of time - dependent deviations may not be measurable.

Circuit optimization

Began learning the focused circuit construct. Using previous years' work as a learning platform.

Packmol finished the build for 6GIX in the centre of a surfactant layer of oil and water. On the oil side, 6GIX was completely disintegrated and there was one subunit remaining on the water side, however it looked very denatured. This tells us 6GIX cannot even remain partially in oil. The next environment will be 6GIX immersed in water with a surfactant layer with oil on one side of the cube. This is to see if the surfactant between the oil and water will have an effect on the stability of 6GIX.

Weekly Summary

Protein modelling:

We were asked to model 6GIX with some modification made by the wet lab. They added HIS tags to some ends of the subunits which will be needed for purification in the production of the protein. We just simulated molecular dynamics for one nanosecond in gromacs and obtained RMSD (root mean squared deviation) data of the backbone struture. We graphed this data compared to the unmodified 6GIX and saw some deviations, however out of the five different modification, none of the deviations were large enough to consider denaturing. Thus the wet lab went ahead and ordered their parts since the added tags did not denature to protein to any significatn extent.

Degradation:

Scripts incorporating independent temperature effects were finished. No limits on them though - temperature effects use arrhenius on kcat which may not be accurate either - need to determine what is the best way forward for this set up. Single variable variation function and testing scripts were also completed.

Circuit optimization:

Looking at possible pseudo-reaction schemes for cirucit kinetics. Still learning SYNBAD

Weekly Summary

Frost Modelling (Sunny Days)

PCA and initial neural networks completed

Created outline for testing and validation.

Explored MLP's for multivariate regression on time series. <<<<>>>>

Economic Modelling (Italian Wedding Soup)

Learned Khan Acad. basics

Monaco

Learning Synbad

Finished differential descriptions of current reaction scheme.

Pickles/coleslaw:

Working on deriving temperature/pH effects using gibbs differentials

Began to look at 2 variable variation to obtian surface response plot (3D graph)

Looking at different mechanism design (struggling with this)

Catalina:

Looking at emulsion modelling - what type of tools are used, equilibrium types, application in industry, current research, etc...

protein modelling:

Started gathering RMSDs, videos, and summaries to inform wetlab based on the 6gix modifications presented last week. Generated Summmary graphs to compare stability between 6gix and tagged proteins. <<<<>>>>

Weekly Summary

Protein Modelling

Finished Oleic acid model this week now it is just working with energy minimization in biphasic systems. Learned commands and theory around accounting for periodic boundary conditions. Completed electrostatic interaction modelling and homology structural prediction for 5DQR. This was then utilized to build the tag they will be using.

Italian Wedding Soup

Marinara:

*New project started - spreadsheet analysis of existing market , will include sensitivity analysis to inform minimum effectiveness of separation system to net 0

Pickles/Coleslaw:

Contnued work on temp & pH effect derivations

Meeting with degradation subgroup: Use ordered double substrate mechanisms and random release for reactions (reductases use substrate second, cofactor first) (mg dech & phytinase use substrate first, cofactor 2nd)

Subgroup is working on determining possible release (ask LV).

There is a chemical that will be used for cycling - micha will send papers

Finished double variation scripts - surface plots can be obtained now.

Need to figure out how to set up scripts to work on 2 step, not total cumulative

Sunny Days

PCA and Neural nets are under way and undergoing optimization

Explored RNN's for multivariate regression on time series.

ketCHUp

Monaco

Monaco, after intense work, figuring out dozens of differential equations and multitudes of parameters, was deemed nearly impossibly difficult.

can only be pursued effectively if wet lab does experiments fast and has quantifiable results by August 1st.

will be doing literature review until further notice - possible feedback regulation mechanism could be interesting to increase productive lifetime

SYNBAD is deemed an awful tool to run these on.

Salad Dressings:

Identified polderman equation as possible set up for settler design

Henschke's method could be useful, but it does not include surfactant mechanics AND needs specialised equipment

Started reading into surface response method (a stochastic approach) for separation kinetics - need to read more - relatively simple but need viscometer and electrophoresis thing

Met with Dr. Nashat Nassar - agreed that LLE experiments would be good to perform

Need to build ternary (maybe quartary?)phase diagram

Mentioned either McCabe-thiel or hunter-nash method for analysis would be appropriate (didn't say anything about kremser)

Modelling approach could be to consider emulsion as a homogenous solvent, build ternary phase diagram using optimized formulation from surface response (NEEDS MORE RESEARCH)

For formulation experiments, phase diagrams might need to be constructed for the emulsion composition (could be an alternative to surface response)

Equilibrium of surfactants can be described by winsor types (1,2,3,4). There seem to be different kinetic formulations for each type. Need to consider the transition between winsor types (might be infered from phase diagram - tricritical point seems to be conditions for winsor type 3).

Weekly Summary

Protein Modelling:

Continued Work on generating models for the biphasic systems. Generated dataset of pair distance over the simulation for the 6gix tetramer Used this with functional principal component analysis to understand latent variables in the proteins movement

Italian Wedding Soup/Marinara:

Continued to look into emulsion theory. Realised that all well-characterized deterministic models need parameters measured by equipment that we don't have available. Also found that there is alot of work in emulsion formulation optimization for the food industry. More research is required.

Pickles/Coleslaw:

Kinetics scripts were reworked to test multiple enzyme:substrate ratios in parallel

Sunny Days/KetCHUp

RNN weather model completed. Hybrid PNMM model completed. Sunny Days writeup begins. <<<<>>>>>>>>>

Salad Dressings (SCALE UP):

Looked at hunter-nash, and McCabe thiel. Hunter-nash will not be applicable due to composition of system - dealing at 30 ppm - 100 ppm on average. Idea of setting up a ternary phase diagram for emulsion-oil-chlorophyll will not work becaue equilibrium relationship of our scale will most likely be linear (TPDs work better at larger compositions ~ >10%. This implies that dilute McCabe-thiel OR kremser might work for conventional LLE, but seems like a rugged method for including emulsions.

Process mechanism for scale up is currently gravity decanter. How does this operate? temp? formulation? is everything mixed at the same time? Needs deeper consideration.

Weekly Summary

Protein Modelling:

Created an emulsion bubble simulation with 6gix tetramer inside a water bubble all surrounded by Oleic acid.

Italian Wedding Soup/Marinara:

Pickles/Coleslaw:

Complete but can be improved Sunny Days/KetCHUp ketCHUp abandoned Sunny Days Validated Nearly completed writing

Salad Dressings:

Met with Dr. Giovanniantonio natale about modelling colloids - didn't seem to optimistic about approaching potential models due to (previously mentioned) surfactant problem. Experimental fit models may be assessed by assessing different formualtions of Span:Tween ratio and S:W:O ratios - try to measure concentration variance in real time. We probably don't have the equipment to do so. Conclusion: To PROPERLY study mass transfer mechanism, need to understand the effect of surfactant. Theoretical model will likely be difficult to develop.

Important takeaways: effect of surfactant on mechanism - formulation and composition properties - effect are "understood" through analysis of winsor types. Look into statistical approach - something similar to surface response. ALSO need to start testing these effects. Will look into the methodology for emulsion preparation.

Obtained tween 80 from a nearby lab, courtesy of marija. Seb will be practicing making emulsions in the lav until Span 80/Tween 80 arrive. -

Weekly Summary

Protein Modelling:

Started collecting instantaneous root mean square fluxuation data for 500 discrete time points for a single 6gix monomer. Began generating a massive model to demonstrate the aggregative properties of the 6gix monomers. The initial attempt failed after 80 hours of computation. This was then trouble shooted and an aggregation model was established for both 1 and 5 ns time intervals totalling almost an entire week of computation time.

Italian Wedding Soup/Marinara:

Found paper that outlines economics of farmers

Scale-up:

Created McCabe-Thiele Script for Liquid-Liquid Extractions at low concentrations. Will derive a kremser equation as well to analytically determine stage number. Goal is to consider alternative process operations to syn-bio for comparative assesment (we want syn-bio approach to be clearly better). <<<>>>

More practice with emulsions. testing different formulations and observing size (emulsion structure). Began to look into possible neural net approach - different types of hybrid nets are used in similar studies, but existing approaches have illogical mehtods - like using 1 net to predict different ampiphile effects, and not including HBL or OHBLD measurement. Jake, Rylan, and Andrew mentioned that a classification approach using SVM and/or k-means clustering might be able to interporlate rather than using a neural net.

Began to look into clay filtration - clay bleacing via slurry tank seems to be industry standard. Identified Montromillonite k10 to be a good adsorbent from literature. However, kinetic and equilibrium models for this clay (for chlorophyll extraction) is not immediatly obvious. Needs more research. Need this information to build clay model (comparative assesment).

Met with Dr. Hector de la hoz sigler - chemical kinetics and bioprocess professor. Said that he thinks that current degradation scheme is not scalable. Too many enzymes, and will likely run into cycling issues with specificity of sodium dithionate. I asked him about my immmobilization idea: if enzymes operate as classical heterogenous catalyst, they may likely be re-used easily. Convert chlorophyll into something more aquoues-soluble or something benficial to oil pigmentation or stability. Hector said that you run into the same problem wth recycling regardless. Also gave advice on assays for double-substrate enzymes and method of analysis (hold 1 var constant, obtain K1, do the same to other, obtain K2). Lineweaver burk plot used to be used for obtianing Km, but it is better to do non-linear regression (Sum of squares etc..). Reccomended "Bioprocess Engineering - basic concepts" book.

Sunny Days:

Continued editing of the paper

Weekly Summary

Protein Modelling:

Started implementing Expectation Maximation clustering through the use of Gaussian mixture models to identify the amino acids that attribute the most variance to the model.

Italian Wedding Soup/Marinara:

Met with UofA to incorporate our economic models together since they are also affecting farmers Established Requirements of economic model three prong approach - -supply demand curves and shifts -Current Process (acid activated clays) -Our Process (protein) Created Supply/Demand Plot for Farmers

<<<>>> Found cost of clays/shipping as well as many other factors for the project

Scale-up:

Created more scale-up matlab scripts to further kinetic models, included temperature kinetics via arrhenius expression included deactivation kinetics.

Emulsion work continued as standard. Developed methodology to run highly parallelized experiments by operating on dilution lines.

Sunny Days:

More editing and wiki writeup first draft. Got ok to go to publisher from Dr. Mayi and Dr. LV

Weekly Summary

Protein Modelling:

Completed Genetic Algorithm to generate 6gix modifications based on in silico targeted selection. This was used to find suitable replacements to the 12 amino acids that attributed the most variance in the dynamics of the protein as found in the Expectation Maximization clustering based on the functional principal component analysis results.

Economic Modelling:

Found that the cost of direct synthesis is 160 000x the worlds money supply/tonne protein Found the cost of growing the cells in terms of reagents

Scale-up:

Started writing scripts for adsorption column. Other adsorbents like silica and zeolites would be operated using a packed column - would have to include TSA or PSA to operate adsorption process continously. Began to look into these models on aspen adsorption. Also, began to read more into adsopriton isotherms and order montmorillonite clay from sigma.

Met with Dr. Jinghuang Hu - biochemical engineering and bioprocesses professor. Mentioned same idea as hector - current degradation pathway is not cost effecient. Mentioned a possible immobilization technique using lignin nanoparticles instead of hydrogel or fillament set up - forwarded the paper to seb. Immobilize enzymes on nanoparticle surface, then can dilute into a more soluble solvent (similar to previous idea). The study employs this approach for butanol butyruc acidm and butyl butyrate. Dr. Hu offered any resources he can provide us with are at our disposal. Will look more into nanoparticle immobilization.

Phase Diagrams:

Span 80 and tween 80 came in! Also created a dilution phase diagram so we know how much water to add to be able to run many tests, this tool will be used to run experiments. Began to set up emulsion tests with this composition AND tested a quick and dirty way to simulate green oil. Added crude chl-etoh stock to oil in a measured approach to get ~30ppm of chl, and boiled off ethanol. Seemed to be relatively successful.

1 2 95.00 8.66 90.00 0.00 10.00 3 61.67 8.66 56.67 33.33 10.00 4 45.00 8.66 40.00 50.00 10.00 90.00 17.32 80.00 0.00 20.00 5 35.00 8.66 30.00 60.00 10.00 70.00 17.32 60.00 20.00 20.00 6 28.33 8.66 23.33 66.67 10.00 56.67 17.32 46.67 33.33 20.00 85.00 25.98 70.00 0.00 30.00 7 23.57 8.66 18.57 71.43 10.00 47.14 17.32 37.14 42.86 20.00 70.71 25.98 55.71 14.29 30.00 8 20.00 8.66 15.00 75.00 10.00 40.00 17.32 30.00 50.00 20.00 60.00 25.98 45.00 25.00 30.00 80.00 34.64 60.00 0.00 40.00 9 17.22 8.66 12.22 77.78 10.00 34.44 17.32 24.44 55.56 20.00 51.67 25.98 36.67 33.33 30.00 68.89 34.64 48.89 11.11 40.00 10 15.00 8.66 10.00 80.00 10.00 30.00 17.32 20.00 60.00 20.00 45.00 25.98 30.00 40.00 30.00 60.00 34.64 40.00 20.00 40.00 75.00 43.30 50.00 0.00 50.00 11 13.18 8.66 8.18 81.82 10.00 26.36 17.32 16.36 63.64 20.00 39.55 25.98 24.55 45.45 30.00 52.73 34.64 32.73 27.27 40.00 65.91 43.30 40.91 9.09 50.00 12 11.67 8.66 6.67 83.33 10.00 23.33 17.32 13.33 66.67 20.00 35.00 25.98 20.00 50.00 30.00 46.67 34.64 26.67 33.33 40.00 58.33 43.30 33.33 16.67 50.00 70.00 51.96 40.00 0.00 60.00 13 10.38 8.66 5.38 84.62 10.00 20.77 17.32 10.77 69.23 20.00 31.15 25.98 16.15 53.85 30.00 41.54 34.64 21.54 38.46 40.00 51.92 43.30 26.92 23.08 50.00 62.31 51.96 32.31 7.69 60.00 14 9.29 8.66 4.29 85.71 10.00 18.57 17.32 8.57 71.43 20.00 27.86 25.98 12.86 57.14 30.00 37.14 34.64 17.14 42.86 40.00 46.43 43.30 21.43 28.57 50.00 55.71 51.96 25.71 14.29 60.00 65.00 60.62 30.00 0.00 70.00 15 8.33 8.66 3.33 86.67 10.00 16.67 17.32 6.67 73.33 20.00 25.00 25.98 10.00 60.00 30.00 33.33 34.64 13.33 46.67 40.00 41.67 43.30 16.67 33.33 50.00 50.00 51.96 20.00 20.00 60.00 58.33 60.62 23.33 6.67 70.00 16 7.50 8.66 2.50 87.50 10.00 15.00 17.32 5.00 75.00 20.00 22.50 25.98 7.50 62.50 30.00 30.00 34.64 10.00 50.00 40.00 37.50 43.30 12.50 37.50 50.00 45.00 51.96 15.00 25.00 60.00 52.50 60.62 17.50 12.50 70.00 60.00 69.28 20.00 0.00 80.00 17 6.76 8.66 1.76 88.24 10.00 13.53 17.32 3.53 76.47 20.00 20.29 25.98 5.29 64.71 30.00 27.06 34.64 7.06 52.94 40.00 33.82 43.30 8.82 41.18 50.00 40.59 51.96 10.59 29.41 60.00 47.35 60.62 12.35 17.65 70.00 54.12 69.28 14.12 5.88 80.00 18 6.11 8.66 1.11 88.89 10.00 12.22 17.32 2.22 77.78 20.00 18.33 25.98 3.33 66.67 30.00 24.44 34.64 4.44 55.56 40.00 30.56 43.30 5.56 44.44 50.00 36.67 51.96 6.67 33.33 60.00 42.78 60.62 7.78 22.22 70.00 48.89 69.28 8.89 11.11 80.00 55.00 77.94 10.00 0.00 90.00 19 5.53 8.66 0.53 89.47 10.00 11.05 17.32 1.05 78.95 20.00 16.58 25.98 1.58 68.42 30.00 22.11 34.64 2.11 57.89 40.00 27.63 43.30 2.63 47.37 50.00 33.16 51.96 3.16 36.84 60.00 38.68 60.62 3.68 26.32 70.00 44.21 69.28 4.21 15.79 80.00 49.74 77.94 4.74 5.26 90.00 <<>>

Created a prototype SVM and neural net model for ternary phase diagrams through changing temperature in order to extrapolate and interpolate the phase behaviour of systems in temperature. <<>>

Weather Modelling:

Models and paper successfully submited to the publisher Alberta Academic Review.

Weekly Summary

Clay Filtration:

We filtered chlorophyllated oil through acid activated clay. These pictures show the before/after filtration. it filters well but these conditions cause a 20% mass loss in canola oil (yikes.)

<<>> <<>> <<>>

Phase Diagrams:

Created an improved data visualization system to enable faster and more versatile viewing of generated ternary phase diagrams. Also, improved the modifiability of the system.

Protein Modelling

Ran 6 Pheophorbide simulations for the day to obtain models demonstrating its equilibrated dynamics within water. Then used these simulations and their lambda values to generate Gibbs Free Energy of Solvation.

Weather Modelling

Waiting for updates from the publisher on the Peer Review Process

Economic Modelling:

<<>> <<>>

Weekly Summary

Clay Filtration:

Filtration experiments continued. Experimental approach: equilibrium experiments to determine an approproate adsorption model. From literature, langmuir and freundlich are most likely. Three temperatures are observed, 25, 60, 100 degrees celsius. Different weights are observed, 0 (control), 5, 10, 15, 20 wt%. Absorbance (and deltaW) is measured before and after. Qe and Qt values are obtained from mass balances, and then input into fitting scripts. Best fitting parameters are calculated from different models, and then refit to data set. The same will be done for kinetic tests, but on 5 minute intervals to capture intial adsorbance rate. Equilibrium and kinetic models are combined, hopefully fit parametrically through arrhenius (still need to look at the derivations to see if the mechanism makes sense) and obtain a general model.

Currently still need to improve the measurement technique for chlorophyll. A standard curve can be built and used, but then material balance for the model might not work.

Phase Diagrams:

Worked on SVM, K-nearest-neighbours, and MLP primary stage phase diagram interpolation. <<>> Used the first batch of real experimental results to get MLP secondary stage phase diagram interpolation.

<<>> Worked on data visualization.

Protein Modelling:

Weather Modelling:

Much progress was made on the Wiki writeup.

Economic Modelling:

Economics Hard, No real progress.

Weekly Summary

Clay Filtration:

Standard dilution curves were built for comparative extraction of chlorophyll. Results were taken at absorbances 649, 664, 670

<<>>

Explain T1, t2, t3, then explain what langmuir and freundlich are, not in detail but enough to know what is happening T1 fits langmuir and freundlich well - T2 (60) and T3 (100) don't - might be due to change in physical characteristic of pore site - equivalence in in binding energy is no longer valid. There is a model that described sigmoid-like adsorption, assumptions are different. Refered to as langmuir s-type or sigmoid type.

<<>>

Performed a second round of experiments on T1 with 0.5%, 1%, 2%, 2.5% and 5% loadings at T1. Isotherm results are given below. Still need an effective way to describe oil loss mathematically as a function. It seems that the chlorophyll absorbance data fits the langmur isotherm at this temp well. Still need to include the quality of fitting parameters in the scripts.

<<>>

Experimental results also have begun to show the relationship between %removal and temperature. Higher temperature, as predicted, allows improved removal of chlorophyll, but also causes a lower loss in oil. Thus, higher temperature operaiton has a higher oil recovery ratio. However it is more expensive to operate at a higher temperature - will attempt to adress this with economic trade off. A possible approach would be co-optimization of clay and protein bleaching. Still need to formulate continuum models. Possible approach would be to build solid/liquid separation into a black box model, and allow it to operate continously. Perform heat exchanger calculations off of slurry output.

<<>> <<>>

Phase Diagrams:

SVM hyperparameter (gamma and cost) optimization algorithms implemented in addition to the K optimizations for K nearest neighbours. Improved results seen. <<>>

Protein Modelling:

Weather Modelling:

Economic Modelling:

Started working on Stonks, the NN to predict canola futures. This is mostly an educational exercise as I wait for the lab to give data back on efficiency of the proteins. I'm using a MultiLayer Perceptron MLP to start off the project, then an Recursive Neural Network RNN. Later I plan to work integrate PCA to identify what causes the most dramatic shifts in the futures.

Also started looking into utility costs. Utilities can extrapolate the total cost of the operation. utilities generally are 15% of the cost of operation. using [Towler,_Gavin;_Sinnott,_Ray_K.]_Chemical_Engineer(z-lib.org).pdf

<<>>

Weekly Summary

Clay Filtration:

To do: Continued filtration experiments - doing validation and experiments on lower loadings. Currently only T1 is working well. Wi

Phase Diagrams:

Continued working on data visualization techniques. <<>>

Protein Modelling:

Weather Modelling:

More wiki writing was conducted.

Economic Modelling:

Created a script based on multiple assumptions that calculates the needed recycling capablities to have a decent return on investment. If we recycle less than 99.8% of protein there will not be a return on investment whilst there is a return on investment just shy of 5 years with a recycle factor of 99.91% <<>> <<>> <<>>

Weekly Summary

Weather Modelling:

A weather model began being constructed for predicting minimum temperature a week in advance, in order to provide more accurate and detailed frost predictions in terms of duration and severity, as a tool for influencing farmers as to when to swath their canola crops in the face of killing frosts.

Phase Modelling:

More phase diagrams were created. Confidence evaluation was explored.

Weekly Summary

Weather Modelling:

The swathing model was deemed not worth pursuing.

Phase Modelling:

A confidence function was designed and implemented, to inform future data locations. Area analysis functions were created to visualize phase area vs temperature.

Weekly Summary

The 2019 Calgary iGEM team kicked off the summer by reviewing the medal requirements for this year's iGEM competition. We made sure all of our organizational tools (Mendeley, Benchling, etc.) were in place for the summer, and began chipping away at the mandatory laboratory safety courses which are required to work in University of Calgary labs. We also began literature review of a few potential project topics. The dry lab explored the feasability of a bioreactor CAD tool by reading through literature and talking with Dr. Dave Anderson, a bioinformatics professor at the University of Calgary. We also proposed developing a paper discovery engine that would suggest papers with contrasting ideas. This was received well by our team, so we decided to explore it further in following weeks. Monday , 05-06 Notes - Continued Literature review among the two possible projects, a bioreactor CAD tool, and a contradictory paper finder -Team meeting with the entire group. -Contacted multiple individuals in industry for HP listed below with their role. - Dale Schuurmans NLP proffessor @uAlberta James Wright NLP and Game Theory at Ualberta Robert Holte Machine Learning @uAlberta AltaML Machine Learning Company Richard Sutton Research Scientist @DeepMind Nick Savidov Rural Bioreactor Guru Aquatera Landfill Bioreactor users Enerkem Company that heavily uses bioreactors Ed Dziengielewski Landfill Manager - Peace Regional Landfill Deloitte Consulting Company Russ Greiner NLP, ML, Bioinformatics Proff @uAlberta Amii Too AI Research Group Darwin AI AI Company Derrick Rancourt Director @ Center for Genome Engineering Milo Koretsky Virtual Bioreactor Controller Marc Strous Leader of the Energy Bioengineering Group (Works with bioreactors) Dr Moshirpour AI help at UofC Reg Ouellette NLP help at successful start-up Adam Meyers Linguistics/CS prof at NYU, created Termolator meyers@cs.nyu.edu - -Developed ideas and relationship with Dr. Nick Savidov at lethbridge college towards bioreactor tool -looked into NLP and looked into algorithms - Worked heavily on the modelling portion of our project so far 4 models have been selected for further inquiry - Modelling of Degredation of Chlorophyll into its derivatives - Thermodynamic modelling of chlorophyl a and b -modelling proteins using SWISS server -Using a genetic algorithm for binding protein selection -Put in Work on Opentron application -theorized bioreactor module for opentron machine -Bioreactor idea, abandon the CAD (cannot compete with AutoCAD) and cannot compete with companies that sell them -Bioreactors are not inaccessible to farmers as they are very ingenious, but they don't have access to the high-tech versions of them through CAD or pre-built as they need cheap bulk, unlike Pharmaceutical companies that need quality. -Replace by just creating a spreadsheet to help farmers create their own bioreactors to be nutrient efficient. Modeling integrated into the spreadsheet/app/website. -wood chip bioreactors very expensive and not useful -Paper Discovery, Highly useful in the world of science as science is progressing faster than a person can keep up. Projects like CRAFT have been successful to summarize and figure out the current paradigm of say oncology. -Our project can certainly pursue comparisons/Contradictions between research papers. -Ethical Issue: Concentrates science into a dogma and new contradicting ideas that go against dogma will be discarded. - Toured the Life Sciences Innovation Hub -Met with stats prof (Andrew) BioReact - Johnson Su bioreactors seem to be the most popular composting for farmers -Meeting with Anderson (modeling) -Thoughts of splitting team into NLP and automation -Experimented with NLTK -Explored different lemmatizers -Discussed how one defines "constrast" - ultimately decided that we can't look for direct contrast, we should instead look at distance in similarity -Update iGEM Calgary to include last years information and show the current team -Worked on method to convert research papers to .txt based documents - PDF to txt done, text just needs a word-splitter -Project Summaries -Abandoned Bioreactors in meeting. -Lots of learning done -NLTK by software team - Updated igemCalgary.ca to reflect current team and added 2018 project summary Bioreactor idea highly invested into cumulating into meeting friday to decide on the project - Bioreactors as a main project abandoned. Started learning NLTK for paperTrail

Weekly Summary

-Termolater -creates terminology and can be used with pubMed with ~ 80% accuracy, -creates relationships between words -sent email to creator (Adam Meyers), willing to talk -recently updated -Meeting with Dr Moshirpour -Project feasible -http://spark.apache.org/, http://spark.apache.org/mllib/ -Lab automation -Cloning, Protein purification, Chromatography - already done and difficult -Incubator Camera + App -Feasible and inexpensive Camera, Algorithm, App https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5191158/ -^needs to be built for our Incubators -Track Protein Concentration in cells. -Feasible with GFP tracking, https://www.cell.com/cell-reports/pdf/S2211-1247(15)01363-7.pdf -Track Protein Concentration in medium -Needs centrifuge, much harder to do, maybe we can find a way for a project -nanodrop -PCR -app that texts you when the PCR is nearly done, currently no method for notification -Gel automation -uses ingredients to mix a gel for you at the press of a button -assistant -to ask questions like dilute this by 10x how much do i need -keep track of protocols and holds your hand along the way -Enzyme characterization assay -Wait to see if we get opentron -Reducing lab waste -autoclavable glass instead of plastic -Other project paths -Filter (remove all proteins) and bioreactor for wet lab

NLP

Looking for ways to make project more SynBio-y Did more research into machine learning and creating NLP API's. Did more research into using term extraction API's.

Wiki

Started Journals Completed basic structure for Journals, HP, Protocols integrated journals to the actual Wiki Utrecht has a very good SEng in the website

Weekly Summary

-NLP -Met with Dr. Far to discuss NLP and approaches to tackle determining relationships between keywords. -Worked on creating a graphing application to connect research papers based on shared keywords. -cGEM website completed -NLP Termolator works -NLP currently working on the graph -Chrome Extension 100% doable -Economic model with frost detection -NLP direction not useful based on prof opinions

Weekly Summary

-Met with Dr. Zahra Shakeri Hossein Abad to discuss NLP approaches and possible projects. Focus on Paper -Weather Scraper -Machine Learning: Created Neural Networks for Multivariate Regression of future weather data.

Wiki Updates

-

Telus SPARK project

-

GC Richness Tool

-Found one online that claims to do it

Weekly Summary

Innovate Calgary Summaries completed

Telus Spark

-Created frame for build, will order stuff and contact Spark for info and direction -3D Model for 3D Printing job using "TinkerCAD" -Successfully built block for Telus Spark

GC Richness Tool

Canola Heat Units (ketCHUp)

-Started

Wiki

Weekly Summary

Mean Green Machine

-HP/requirements analysis for 2 weeks before physical and actual work

Telus Spark

-Wiring and buttons testing - Blueberry expands with stepper motor -Reprint of block

Encore

-Successfully ran file -Started work on GUI and UX -Using Django Wiki ?

Weekly Summary

Mean Green Machine:

-HP -Explored Foreground Smear Shape Extraction with OpenCV.

Telus Spark (Cerberus):

-Successful reprint of the block -> will now be able to press buttons -Plan to remove buttons to make it magnet activated for tactile feedback -Illustration for our project

Encore:

-Worked on the GUI

Wiki:

?

Weekly Summary

Green Seed Standardization:

-Given the go-ahea to start work -Refined project requirements with Canolapalooza

Codon Optimization:

-Kept working on GUI and Script integration

Wiki:

?

Telus SPARK:

-Slower progress

Weekly Summary

Green Seed Standardization:

Meeting with Dr Murari for hardware specs and camera/hardware constraints and avenues. Exploring object extraction methods and colour analysis methods. Created and printed first seed holder. The PLA formed in such a way that the divots were too shallow to use. Generated another seed holder with more breathing room but it ultimately failed due to being processed with too low of a fill percentage <<>>

Codon Optimization:

Wiki:

?

Telus SPARK:

Weekly Summary

Green Seed Standardization:

Found cameras for project - raspberry PI Use backwards lens to make macro lens Printing continued on seed holder which were ultimately unsuccessful as others using printers stopped the print. A successful print of the seed holder was also stolen from the printer this week :( Refined the colour analysis software. <<>>

Codon Optimization:

Managed to make codon harmony run with new classes but now it doesnt work because multithreaded sad Due to multiprocessing requirements of a linux machine, this project will be put on hold until i get a linux machine

Wiki:

Started creating team descriptions

Telus SPARK:

Plan to work on it more now

Weekly Summary

Green Seed Standardization:

Successfully printed the rack for the seeds, camera is in.

Codon Optimization:

Attempted working on campus. exceeded disk quota to be able to run it. Got Mike's Computer with Ubuntu(Linux) Downloading Python, update Ubuntu, Install Pip to install python packages Installed codon-harmony

Wiki:

First Official wiki meeting with entire dry lab about style.design

Weekly Summary

Green Seed Standardization:

Discovered seed rack could be optimized further to aid in the use of the tool. Generated new model that would be able to meet these needs. Built the box prototype, and tested the

Codon Optimization:

GREAT SUCCESS ACTUALLY PASSES TESTS <<<>>> Next step: Make my changes run without issue, pass arguments through a script, and then submit a pull request PULL REQUEST SENT IN, decreases code coverage whatever that means. It is extremely easy for django to use it so it should be fine Code coverage went down so pull request was rejected. Attempt 2.0 Failed. Did not pass tests Code owner (Brian Weitzner) provided really good suggestion on dealing with dictionaries Didnt work due to it not being compatible with tox (previous versions of python) Redesigned it. Passes tests again. Attempt #3 to pull request. Failed Catastrophically

Wiki:

Weekly Summary

Green Seed Standardization:

Construction on the lightbox began. DIscovered that the camera was no good & began searching for a better one. Finished the light box lid. Began printing camera holder. The seed analysis software was reformatted. Some of the seed data was analyzed.

Many attempts to get the software to work on the pi were tried. IMG_0342.JPG IMG_0348.JPG IMG_0349.JPG

Codon Optimization:

Continued failure, Pull Request passes tests. Now I wait for Brian to accept the changes I made. Once that happens. I will be able to codon_harmony.runner(my_dict) and have it work easily.

Brian hates the aesthetic.

Proposes solutions that are incompatible with tox (py version 3.6 gets angry)

When told he said to "Just bump the requirements up to python 3.7" Which i dont fucking know how to do. So I'm in a bit of a pickle

I've also been working on the look of the website.

I also tested the software, (unoptimized) on sequences. I ran it on modGIX, and it worked very well, no issue.

I then tested the it on the old protein sequence (Chris') and compared it to IDT.

IDT gave a score of 21.1 to codon_harmony rather than 23.8 for pure optimization, which is greatly disappointing, even if it beat pure optimization.

Repeats were worth 11.4 points, hairpins 4, and high GC content 5.7 points. So I believe optimizing for repeats may be the best solution. Codon-optimizer from UBC was really good at that. image.png image.png image.png image.png

Wiki:

Everyone spent time working on the wiki content (Weather model, GC richness, and Protein modelling, Scale-Up)

Weekly Summary

Green Seed Standardization:

Lots of progress made on wiki content.

Box works, but alternate options for the camera are being looked at for higher image focus. Working on the UI for usability with a standard computer. image.png image.png

Codon Optimization:

Lots of progress made on the wiki content

Wiki:

Cannibalized Nottingham Wiki Scripts as they had functionalities we want

Rylan started working on coding Phase diagrams so we have pages up and ready.

Weekly Summary

Green Seed Standardization:

The GUI tool gained more features, namely the ability to select specific seeds and look at their data. <>

The modified flood fill algorithm used by the program was visualized.

<>

Codon Optimization:

After debating over how to implement the improved algorithm, we hit a stopping point where we didn't know hpw to make an effective algorithm do everything. Just finding the repeats couldve been a extremely difficult task requiring monstruous machinery. So Andrew found a solution that made everything much simpler. Leave it up to random chance. So the idea is to implement a genetic algorithm that exsentially acts like the synthesis score except we create populations of dna sequences, which we then score, giving the fitness value. We then keep the best ones and mutate those until we have a strong candidate.

An eventuality is to have the genetic algorithm crossbreed the best ones to create some of the offspring. some of them will die but some may be even better.

A lot of progress of made on the genetic algorithm, the majority of the fitness scoring systems have been put into place. We currently can generate a population based on an initial sequence, mutate those sequences, and check the fitness for the population of sequences for all parameters except for repeats and host-codon usage as those have more dependencies. We can also select the top 20% of the population and kill off the others.

Wiki:

Prahbu made a side bar

Rylan made a whole layout with functional definitions

Weekly Summary

Green Seed Standardization:

Methods of validation were discussed. Namely, comparing the tool grading with grading conducted by the local Canadian Grain Commission building.

Wiki writing and images were worked on.

Weekly Summary

Codon Optimization:

Abandoned the integration of system into codon-harmony due to wasted time. will directly import into website. Genetic Algorithm successfully runs, does not optimize correctly but that can be changed by changing the weights of each function.

Currently attempting to multi-process system for speed as it is slow.

Green Seed Standardization:

Talked to Sean Mason about functional design. for the project and explained a system for crushing seeds as well as validating our current thoughts. he will also be useful as he offered his Solidworks services. Decided design considerations and looks for the project as well as assign groups.