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Design of a dynamic model of genes with multiple autonomous regulatory modules by evolution in silico

Alexander V. Spirov¹ and David M. Holloway²

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1. State University of New York at Stony Brook, Computer Science Department and Center of Excellence in Wireless & Information Technology
2. Mathematics Department, British Columbia Institute of Technology, Burnaby, B.C., Canada; Biology Department, University of Victoria, B.C., Canada.

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Manuscript

Date:

Received 29 October 2009 00:50 UTC; Posted 29 October 2009

Subjects:

Biotechnology, Developmental Biology, Genetics & Genomics, Bioinformatics, Evolutionary Biology

Tags:

• evolution in silico
• gene regulatory networks
• dynamic modeling
• genetic algorithms
• autonomous regulatory modules
• fitness functions
• subbasin-portal architecture

Abstract:

A new approach to design a dynamic model of genes with multiple autonomous regulatory modules by evolution in silico is proposed. The approach is based on Genetic Algorithms, with new crossover operators especially designed for these purposes. The approach exploits the subbasin-portal architecture of the fitness functions suitable for this kind of evolutionary modeling. The effectiveness of the approach is demonstrated on a series of benchmark tests.

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License:

This document is licensed to the public under the Creative Commons Attribution 3.0 License

How to cite this document:

Spirov, Alexander and Holloway, David. Design of a dynamic model of genes with multiple autonomous regulatory modules by evolution in silico. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2009.3913.1> (2009)

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