We have developed a structural bioinformatic protocol to explore the signal transduction process at atomic level. We measure and compare the strength of the interaction between various candidate receptors and downstream proteins using our affinity-based scoring model. We screen out the most ideal receptor, TLR1/2, for project design. Compared with molecular dynamic approach, our protocol requires neither costly professional software, nor high performance computing source, thus it is friendly and easy to use for most iGEMers.
Click this image to view our receptor screening model.
Mtb Growth Model
We firstly modeled the growth of Mtb treated with different anti-bacteria agents in vitro and screen out granulysin to be the most ideal one.
We further built series of ODE model to stimulate the infection dynamics and cell-mediated immune response to Mycobacterium tuberculosis, incorporating major elements of the host immune response, to be specific, macrophages, T cell populations, and cytokine mediators. By integrating experimental measurements, we further developed our model and predicted the efficacy of our system.
PartⅠ Modeling in vitro growth of Mtb
Click this image to view the first part of our Mtb growth model.
PartⅡ Modeling in vivo growth of Mtb
Click this image to view the second part of our Mtb growth model.
