Literature DB >> 11525815

Modularity in the gain and loss of genes: applications for function prediction.

T Ettema1, J van der Oost, M Huynen.   

Abstract

Genes that are clustered on multiple genomes and are likely to functionally interact tend to be gained or lost together during genome evolution. Here, we demonstrate that exceptions to this pattern indicate relatively distant functional interactions between the encoded proteins. Hence, this can be used to divide predicted clusters of functionally interacting proteins into sub-clusters, and as such, to refine the prediction of their function and functional interactions.

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Year:  2001        PMID: 11525815     DOI: 10.1016/s0168-9525(01)02384-8

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  17 in total

1.  Biochemical adaptations of two sugar kinases from the hyperthermophilic archaeon Pyrococcus furiosus.

Authors:  Corné H Verhees; Denise G M Koot; Thijs J G Ettema; Cor Dijkema; Willem M de Vos; John van der Oost
Journal:  Biochem J       Date:  2002-08-15       Impact factor: 3.857

2.  STRING: a database of predicted functional associations between proteins.

Authors:  Christian von Mering; Martijn Huynen; Daniel Jaeggi; Steffen Schmidt; Peer Bork; Berend Snel
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

Review 3.  The unique features of glycolytic pathways in Archaea.

Authors:  Corné H Verhees; Servé W M Kengen; Judith E Tuininga; Gerrit J Schut; Michael W W Adams; Willem M De Vos; John Van Der Oost
Journal:  Biochem J       Date:  2003-10-15       Impact factor: 3.857

4.  Computational identification of operons in microbial genomes.

Authors:  Yu Zheng; Joseph D Szustakowski; Lance Fortnow; Richard J Roberts; Simon Kasif
Journal:  Genome Res       Date:  2002-08       Impact factor: 9.043

5.  Quantifying modularity in the evolution of biomolecular systems.

Authors:  Berend Snel; Martijn A Huynen
Journal:  Genome Res       Date:  2004-03       Impact factor: 9.043

6.  Identification and analysis of evolutionarily cohesive functional modules in protein networks.

Authors:  Mónica Campillos; Christian von Mering; Lars Juhl Jensen; Peer Bork
Journal:  Genome Res       Date:  2006-01-31       Impact factor: 9.043

7.  ADP-dependent phosphofructokinases in mesophilic and thermophilic methanogenic archaea.

Authors:  C H Verhees; J E Tuininga; S W Kengen; A J Stams; J van der Oost; W M de Vos
Journal:  J Bacteriol       Date:  2001-12       Impact factor: 3.490

8.  Operon prediction for sequenced bacterial genomes without experimental information.

Authors:  Nicholas H Bergman; Karla D Passalacqua; Philip C Hanna; Zhaohui S Qin
Journal:  Appl Environ Microbiol       Date:  2006-11-22       Impact factor: 4.792

Review 9.  Gene module level analysis: identification to networks and dynamics.

Authors:  Xuewei Wang; Ertugrul Dalkic; Ming Wu; Christina Chan
Journal:  Curr Opin Biotechnol       Date:  2008-09-03       Impact factor: 9.740

10.  A complex-centric view of protein network evolution.

Authors:  Nir Yosef; Martin Kupiec; Eytan Ruppin; Roded Sharan
Journal:  Nucleic Acids Res       Date:  2009-05-22       Impact factor: 16.971

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