Literature DB >> 11406384

Clustering and analysis of protein families.

E V Kriventseva1, M Biswas, R Apweiler.   

Abstract

Various sequence-motif and sequence-cluster databases have been integrated into a new resource known as InterPro. Because the contributing databases have different clustering principles and scoring sensitivities, the combined assignments complement each other for grouping protein families and delineating domains. InterPro and new developments in the analysis of both the phylogenetic profiles of protein families and domain fusion events improve the prediction of specific functions for numerous proteins.

Mesh:

Substances:

Year:  2001        PMID: 11406384     DOI: 10.1016/s0959-440x(00)00211-6

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  12 in total

1.  ProtoNet: hierarchical classification of the protein space.

Authors:  Ori Sasson; Avishay Vaaknin; Hillel Fleischer; Elon Portugaly; Yonatan Bilu; Nathan Linial; Michal Linial
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

Review 2.  Data clustering in life sciences.

Authors:  Ying Zhao; George Karypis
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3.  Exploring the plant transcriptome through phylogenetic profiling.

Authors:  Klaas Vandepoele; Yves Van de Peer
Journal:  Plant Physiol       Date:  2005-01       Impact factor: 8.340

4.  Genome-wide comparative gene family classification.

Authors:  Christian Frech; Nansheng Chen
Journal:  PLoS One       Date:  2010-10-15       Impact factor: 3.240

Review 5.  Listeria monocytogenes surface proteins: from genome predictions to function.

Authors:  Hélène Bierne; Pascale Cossart
Journal:  Microbiol Mol Biol Rev       Date:  2007-06       Impact factor: 11.056

6.  clusterMaker: a multi-algorithm clustering plugin for Cytoscape.

Authors:  John H Morris; Leonard Apeltsin; Aaron M Newman; Jan Baumbach; Tobias Wittkop; Gang Su; Gary D Bader; Thomas E Ferrin
Journal:  BMC Bioinformatics       Date:  2011-11-09       Impact factor: 3.307

7.  BrEPS: a flexible and automatic protocol to compute enzyme-specific sequence profiles for functional annotation.

Authors:  C Bannert; A Welfle; C Aus dem Spring; D Schomburg
Journal:  BMC Bioinformatics       Date:  2010-12-01       Impact factor: 3.169

8.  Comparative analyses of fundamental differences in membrane transport capabilities in prokaryotes and eukaryotes.

Authors:  Qinghu Ren; Ian T Paulsen
Journal:  PLoS Comput Biol       Date:  2005-08-19       Impact factor: 4.475

9.  MACHOS: Markov clusters of homologous subsequences.

Authors:  Simon Wong; Mark A Ragan
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

10.  Human protein cluster analysis using amino acid frequencies.

Authors:  Annamaria Vernone; Paola Berchialla; Gianpiero Pescarmona
Journal:  PLoS One       Date:  2013-04-04       Impact factor: 3.240

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