title: Information theory in systems biology. Part II: protein-protein interaction and signaling networks.
abstract: By the development of information theory in 1948 by Claude Shannon to address the problems in the field of data storage and data communication over (noisy) communication channel, it has been successfully applied in many other research areas such as bioinformatics and systems biology. In this manuscript, we attempt to review some of the existing literatures in systems biology, which are using the information theory measures in their calculations. As we have reviewed most of the existing information-theoretic methods in gene regulatory and metabolic networks in the first part of the review, so in the second part of our study, the application of information theory in other types of biological networks including protein-protein interaction and signaling networks will be surveyed.
authors.affiliation: Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran. Electronic address: zmousavian@ut.ac.ir.
authors.forename: Zaynab
authors.initials: Z
authors.lastname: Mousavian
authors.affiliation: Grupo de Biología Teórica y Computacional, Centro de Investigación en Dinámica Celular, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, Mexico.
authors.forename: José
authors.initials: J
authors.lastname: Díaz
authors.affiliation: Laboratory of Systems Biology and Bioinformatics (LBB), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, Iran. Electronic address: amasoudin@ibb.ut.ac.ir.
authors.forename: Ali
authors.initials: A
authors.lastname: Masoudi-Nejad
mesh_terms: D000465:Algorithms; D000818:Animals; D019277:Entropy; D006801:Humans; D007257:Information Theory; D060066:Protein Interaction Maps; D015398:Signal Transduction; D049490:Systems Biology
keywords: Channel capacity and rate distortion theory; Entropy; Mutual information; Protein–protein interaction networks; Signaling networks