Literature DB >> 26701126

Information theory in systems biology. Part I: Gene regulatory and metabolic networks.

Zaynab Mousavian1, Kaveh Kavousi2, Ali Masoudi-Nejad3.   

Abstract

"A Mathematical Theory of Communication", was published in 1948 by Claude Shannon to establish a framework that is now known as information theory. In recent decades, information theory has gained much attention in the area of systems biology. The aim of this paper is to provide a systematic review of those contributions that have applied information theory in inferring or understanding of biological systems. Based on the type of system components and the interactions between them, we classify the biological systems into 4 main classes: gene regulatory, metabolic, protein-protein interaction and signaling networks. In the first part of this review, we attempt to introduce most of the existing studies on two types of biological networks, including gene regulatory and metabolic networks, which are founded on the concepts of information theory.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Entropy and mutual information; Gene regulatory networks; Information; Metabolic networks; Uncertainty

Mesh:

Year:  2015        PMID: 26701126     DOI: 10.1016/j.semcdb.2015.12.007

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


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