Birth and death of protein domains: A simple model of evolution explains power law behavior |
| |
| Authors: | Georgy P Karev Yuri I Wolf Andrey Y Rzhetsky Faina S Berezovskaya Eugene V Koonin |
| |
| Affiliation: | (1) National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 20894 Bethesda, MD, USA;(2) Columbia Genome Center, Columbia University, 1150 St. Nicholas Avenue, Unit 109, 10032 New York, NY, USA;(3) Department of Mathematics, Howard University, 2400 Sixth Str., Washington, D.C. 20059, USA |
| |
| Abstract: | Background Power distributions appear in numerous biological, physical and other contexts, which appear to be fundamentally different. In biology, power laws have been claimed to describe the distributions of the connections of enzymes and metabolites in metabolic networks, the number of interactions partners of a given protein, the number of members in paralogous families, and other quantities. In network analysis, power laws imply evolution of the network with preferential attachment, i.e. a greater likelihood of nodes being added to pre-existing hubs. Exploration of different types of evolutionary models in an attempt to determine which of them lead to power law distributions has the potential of revealing non-trivial aspects of genome evolution. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
