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Natural Computing

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01-09-2015

An evolutionary procedure for inferring MP systems regulation functions of biological networks

Authors: Alberto Castellini, Vincenzo Manca, Mauro Zucchelli

Published in: Natural Computing | Issue 3/2015

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Abstract

Metabolic P systems are a modeling framework for metabolic, regulatory and signaling processes. The key point of MP systems are flux regulation functions, which determine the evolution of a system from a given initial state. This paper presents important improvements to a technique, based on genetic algorithms and multiple linear regression, for inferring regulation functions that reproduce observed behaviors (time series datasets). An accurate analysis of three case studies, namely the mitotic oscillator in early amphibian embryos, the Lodka–Volterra predator-prey model and the chaotic logistic map show that this methodology can provide, from observed data, significant knowledge about the regulation mechanisms underlying biological processes.

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Title: An evolutionary procedure for inferring MP systems regulation functions of biological networks
Authors: Alberto Castellini
Vincenzo Manca
Mauro Zucchelli
Publication date: 01-09-2015
Publisher: Springer Netherlands
Published in: Natural Computing / Issue 3/2015
Print ISSN: 1567-7818
Electronic ISSN: 1572-9796
DOI: https://doi.org/10.1007/s11047-014-9421-1

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