Difference between revisions of "Team:Calgary/iGAM"

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<h2 class="page-subtitle">Collaborations</h2>
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<h1 class="page-title">Building Relationships</h1>
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                    <h1>Inspiration</h1>
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                    <h2>What needs to be addressed?</h2>
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                <p>
 
  
                    The modification of proteins can often be a daunting ordeal. For each single amino acid change there are 23 different possibilities to be considered. iGEM Calgary has generated a tool to allow iGEM teams make informed decisions on the modification of their proteins.
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            <h2 class="page-subtitle">Software</h2>
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            <h1 class="page-title">iGAM</h1>
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<br>
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<p>https://github.com/ReverendSymes/iGAM</p>
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                <div class="header-area">
 
                    <h1>iGAM</h1>
 
                    <h2>the international genetic algorithm machine</h2>
 
                </div>
 
                <p>
 
                    <b>To assist in the dynamic characterization by other teams</b> we looked to develop a methodology that allows for the calculation and aggregation of Brownian motion measurements for each amino acid in a sequence. The Brownian motion measurement chosen was the Root Mean Square Fluctuation(RMSF) calculated for every atom of a protein in ten picosecond intervals.
 
                    <br>
 
                    <br>
 
                    <b>The RMSF data</b> was calculated from a nanosecond Molecular Dynamic Simulation(MDS) completed within GROMACS, an industrial MDS software.  These values were then averaged over each amino acid, this ensured that the unit of measurement was observed on a scale that was modifiable by teams. This resulted in a series of curves that quantitatively expressed the dynamics for each amino acid.
 
                </p>
 
  
                <img style="width: 100%" src="https://static.igem.org/mediawiki/2019/9/9c/T--Calgary--RMSFALL.svg">
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            <h1>Inspiration</h1>
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            <h2>What needs to be addressed?</h2>
  
                <p>
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          </div>
                    Above is a complete view of the movement attributed to every amino acid of a protein. Having all of the curves present at the same time can be quite confusing. The true power of this measurement can be harnessed when amino acids are displayed in smaller clusters. Below is the dynamics of the 25th, 80th, and 90th amino acid of the 6GIX protein.
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                <div class="header-area">
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          <p>
  
                    <img style="width: 100%" src="https://static.igem.org/mediawiki/2019/9/92/T--Calgary--RMSFSMALL.svg">
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            The modification of proteins can often be a daunting ordeal. For each single amino acid change there are 23 different possibilities to be considered. iGEM Calgary has generated a tool to allow iGEM teams make informed decisions on the modification of their proteins.
  
 +
          </p>
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          <br>
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          <p>https://github.com/ReverendSymes/iGAM</p>
  
                    <div class="header-area">
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          <div class="header-area">
                        <h1>Functionality</h1>
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            <h1>iGAM</h1>
                        <h2>WHAT CAN RMSF ACCOMPLISH</h2>
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            <h2>the international genetic algorithm machine</h2>
                    </div>
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          </div>
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          <p>
 +
            <b>To assist in the dynamic characterization by other teams</b> we looked to develop a methodology that allows for the calculation and aggregation of Brownian motion measurements for each amino acid in a sequence. The Brownian motion measurement chosen was the Root Mean Square Fluctuation(RMSF) calculated for every atom of a protein in ten picosecond intervals.
 +
            <br>
 +
            <br>
 +
            <b>The RMSF data</b> was calculated from a nanosecond Molecular Dynamic Simulation(MDS) completed within GROMACS, an industrial MDS software.  These values were then averaged over each amino acid, this ensured that the unit of measurement was observed on a scale that was modifiable by teams. This resulted in a series of curves that quantitatively expressed the dynamics for each amino acid.
 +
          </p>
  
                    <p></p>
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          <img style="width: 100%" src="https://static.igem.org/mediawiki/2019/9/9c/T--Calgary--RMSFALL.svg">
  
  
 +
          <p>
 +
            Above is a complete view of the movement attributed to every amino acid of a protein. Having all of the curves present at the same time can be quite confusing. The true power of this measurement can be harnessed when amino acids are displayed in smaller clusters. Below is the dynamics of the 25th, 80th, and 90th amino acid of the 6GIX protein.
  
                    <div class="header-area">
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          </p>
                        <h1>Appendix A</h1>
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                        <h2>Procedure of data collected <i>in vitro</i></h2>
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            <img style="width: 100%" src="https://static.igem.org/mediawiki/2019/9/92/T--Calgary--RMSFSMALL.svg">
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 +
 
 +
            <div class="header-area">
 +
              <h1>Functionality</h1>
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              <h2>WHAT CAN RMSF ACCOMPLISH</h2>
 
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            <p></p>
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            <div class="header-area">
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              <h1>Appendix A</h1>
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              <h2>Procedure of data collected <i>in vitro</i></h2>
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Revision as of 10:28, 21 October 2019

Software

iGAM

Inspiration

What needs to be addressed?

The modification of proteins can often be a daunting ordeal. For each single amino acid change there are 23 different possibilities to be considered. iGEM Calgary has generated a tool to allow iGEM teams make informed decisions on the modification of their proteins.


https://github.com/ReverendSymes/iGAM

iGAM

the international genetic algorithm machine

To assist in the dynamic characterization by other teams we looked to develop a methodology that allows for the calculation and aggregation of Brownian motion measurements for each amino acid in a sequence. The Brownian motion measurement chosen was the Root Mean Square Fluctuation(RMSF) calculated for every atom of a protein in ten picosecond intervals.

The RMSF data was calculated from a nanosecond Molecular Dynamic Simulation(MDS) completed within GROMACS, an industrial MDS software. These values were then averaged over each amino acid, this ensured that the unit of measurement was observed on a scale that was modifiable by teams. This resulted in a series of curves that quantitatively expressed the dynamics for each amino acid.

Above is a complete view of the movement attributed to every amino acid of a protein. Having all of the curves present at the same time can be quite confusing. The true power of this measurement can be harnessed when amino acids are displayed in smaller clusters. Below is the dynamics of the 25th, 80th, and 90th amino acid of the 6GIX protein.

Functionality

WHAT CAN RMSF ACCOMPLISH

Appendix A

Procedure of data collected in vitro