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

TL;DR

This paper introduces a novel in silico evolutionary approach using genetic algorithms and specialized crossover operators to design dynamic gene models with multiple autonomous regulatory modules, validated through benchmark tests.

Contribution

It presents a new evolutionary method incorporating tailored crossover operators and a subbasin-portal fitness architecture for modeling complex gene regulatory systems.

Findings

Effective in designing gene models with multiple modules

Validated through successful benchmark tests

Demonstrates potential for advanced genetic regulatory modeling

Abstract

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, enforced by new crossover operators, especially worked out 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.