Paper Info
Title
Replaying The Tape Of Evolution: Evolving Parameters For A Simple Bacterial Metabolism
Abstract
Parameter values of biological systems have received comparatively little attention in the past. Particular computational modellers tend to see them as necessary, but often illusive pieces of information that somehow needs to be inferred. This article is a first attempt to understand whether quantitative information about biological systems, i.e. kinetic parameters, reaction rates, or other constants contain valuable information about the adaptive pressures for which they have evolved. To do this, genetic algorithms are used to evolve parameters for a fixed network structure. The results indicate that the parameters are rather specific to the particular circumstance for which they have evolved. If this is also true for real biological systems, then this suggests that parameter values may be a valuable source of biological information.
Year
DOI
Venue
2013
10.1109/CEC.2013.6557573
2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
Keywords
Field
DocType
computational modeling,genetic algorithms,bacterial metabolism,mathematical model,sociology,reaction rates,statistics,biological systems,biochemistry,biomass,biology
Computer science,Artificial intelligence,Genetic algorithm,Machine learning,Network structure
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Dominique Chu14912.07