Team:USTC Software/Why

These computational tools (detailed listed in figure below, Figure reproduced from The second wave of synthetic biology: from modules to systems) are designed to facilitate the scientists in wet lab in purpose of saving time and cost. On the other hand, standardization components provide a powerful tool for engineering biological systems in lab even in future industrial factories. In other words, all the current efforts are put to assist the scientists and could never replace the intelligence of human beings who are the leading roles in designing experiments and mathematical models.

Is it possible to move further to the steps of intelligence? Is it possible to generate the design protocol and list feasible biobricks? Is it possible to make design of biological networks a funny game even for laymen who know little about synthetic biology? Even not that further, is it possible to suggest different topologies of network that can achieve desired functions? Is it possible to tune an existing network to perform new functions? Is it possible to make a biological network more robust against uncertainties?

Another unavoidable challenge is to fill the gap between dry design and wet experiment. Is it possible to guarantee our design solution biologically significant? Is it possible to propose several “strong” examples to illustrate availability and efficiency of our idea?

Here, we try our best to challenge these seemingly impossibilities and make them possible. We hope our software could be cradle where amazing happens. We don't mean we are on the summit of pyramid of computational synthetic biology and it’s of little significance to say whose work is more important or not. Instead, a vast of collaborations are needed among computational scientists, biologists and engineers. As we described in our flowcharts, ABCs of ABCD, relevant tools are strongly needed to cope with difficulties we meet separately.

Computational_Software (Figure reproduced from The second wave of synthetic biology: from modules to systems)

Automatic Biological Circuits Design

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