Literature DB >> 11835273

Scale-free networks in biology: new insights into the fundamentals of evolution?

Yuri I Wolf1, Georgy Karev, Eugene V Koonin.   

Abstract

Scale-free network models describe many natural and social phenomena. In particular, networks of interacting components of a living cell were shown to possess scale-free properties. A recent study((1)) compares the system-level properties of metabolic and information networks in 43 archaeal, bacterial and eukaryal species and claims that the scale-free organization of these networks is more conserved during evolution than their content. Published 2002 Wiley Periodicals, Inc.

Mesh:

Year:  2002        PMID: 11835273     DOI: 10.1002/bies.10059

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  24 in total

1.  Assessing experimentally derived interactions in a small world.

Authors:  Debra S Goldberg; Frederick P Roth
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-03       Impact factor: 11.205

2.  Evolution of the yeast protein interaction network.

Authors:  Hong Qin; Henry H S Lu; Wei B Wu; Wen-Hsiung Li
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-13       Impact factor: 11.205

3.  Scale-free networks versus evolutionary drift.

Authors:  Teresa M Przytycka; Yi-Kuo Yu
Journal:  Comput Biol Chem       Date:  2004-10       Impact factor: 2.877

Review 4.  Complex networks and simple models in biology.

Authors:  Eric de Silva; Michael P H Stumpf
Journal:  J R Soc Interface       Date:  2005-12-22       Impact factor: 4.118

5.  Coevolution of gene families in prokaryotes.

Authors:  Otto X Cordero; Berend Snel; Paulien Hogeweg
Journal:  Genome Res       Date:  2008-01-29       Impact factor: 9.043

6.  A microRNA-mRNA expression network during oral siphon regeneration in Ciona.

Authors:  Elijah J Spina; Elmer Guzman; Hongjun Zhou; Kenneth S Kosik; William C Smith
Journal:  Development       Date:  2017-04-21       Impact factor: 6.868

Review 7.  Biological databases for behavioral neurobiology.

Authors:  Erich J Baker
Journal:  Int Rev Neurobiol       Date:  2012       Impact factor: 3.230

Review 8.  A scale-free systems theory of motivation and addiction.

Authors:  R Andrew Chambers; Warren K Bickel; Marc N Potenza
Journal:  Neurosci Biobehav Rev       Date:  2007-05-03       Impact factor: 8.989

9.  Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.

Authors:  Anna L Tyler; Folkert W Asselbergs; Scott M Williams; Jason H Moore
Journal:  Bioessays       Date:  2009-02       Impact factor: 4.345

10.  Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms.

Authors:  Xiaotong Lin; Mei Liu; Xue-wen Chen
Journal:  BMC Bioinformatics       Date:  2009-04-29       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.