Computational Systems Biology
Sauro Lab
University of Washington
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Software Downloads:

1. SBW
2. JDesigner
3. Jarnac
4. WinSCAMP
5. Matlab Interface
6. Optimization
6. Bifurcation
 
maintained by Frank Bergmann
 
 
 

Evolutionary Computation

Directed Evolution

Biological systems are inherently complex in nature. One can dissect this complexity by transforming a biological system in to an equivalent engineering system. Once we are done with this transformation we can use the well established engineering principles to gain a better understanding of the biological systems. So the problem now lies in identifying the components in biological systems akin to engineering systems. To address this problem we are constructing a library of biological motifs (e.g., oscillators, filters, toggle switches etc.) by using in silico evolution techniques.

Read more: Directed Evolution

Research conducted by Sri Rama Krishna Paladugu

Example of an Evolved network (Cuberoot)
Example of an Evolved network (Cuberoot)

Lakhesis

The program Lakhesis was developed to evolve chemical networks with the ability to perform simple mathematical computations. In the future the program will be used to develop novel networks and to investigate the evolution of regulated networks.

Read more: Lakhesis

Research conducted by Anastasia Deckard


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