Literature DB >> 15117749

HPID: the Human Protein Interaction Database.

Kyungsook Han1, Byungkyu Park, Hyongguen Kim, Jinsun Hong, Jong Park.   

Abstract

UNLABELLED: The Human Protein Interaction Database (http://www.hpid.org) was designed (1) to provide human protein interaction information pre-computed from existing structural and experimental data, (2) to predict potential interactions between proteins submitted by users and (3) to provide a depository for new human protein interaction data from users. Two types of interaction are available from the pre-computed data: (1) interactions at the protein superfamily level and (2) those transferred from the interactions of yeast proteins. Interactions at the superfamily level were obtained by locating known structural interactions of the PDB in the SCOP domains and identifying homologs of the domains in the human proteins. Interactions transferred from yeast proteins were obtained by identifying homologs of the yeast proteins in the human proteins. For each human protein in the database and each query submitted by users, the protein superfamilies and yeast proteins assigned to the protein are shown, along with their interacting partners. We have also developed a set of web-based programs so that users can visualize and analyze protein interaction networks in order to explore the networks further. AVAILABILITY: http://www.hpid.org.

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Year:  2004        PMID: 15117749     DOI: 10.1093/bioinformatics/bth253

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  29 in total

1.  IMID: integrated molecular interaction database.

Authors:  Sentil Balaji; Charles Mcclendon; Rajesh Chowdhary; Jun S Liu; Jinfeng Zhang
Journal:  Bioinformatics       Date:  2012-01-11       Impact factor: 6.937

Review 2.  Proteome-wide prediction of protein-protein interactions from high-throughput data.

Authors:  Zhi-Ping Liu; Luonan Chen
Journal:  Protein Cell       Date:  2012-06-22       Impact factor: 14.870

Review 3.  Profiling of protein interaction networks of protein complexes using affinity purification and quantitative mass spectrometry.

Authors:  Robyn M Kaake; Xiaorong Wang; Lan Huang
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Review 4.  Network integration and graph analysis in mammalian molecular systems biology.

Authors:  A Ma'ayan
Journal:  IET Syst Biol       Date:  2008-09       Impact factor: 1.615

5.  A survey of available tools and web servers for analysis of protein-protein interactions and interfaces.

Authors:  Nurcan Tuncbag; Gozde Kar; Ozlem Keskin; Attila Gursoy; Ruth Nussinov
Journal:  Brief Bioinform       Date:  2009-02-24       Impact factor: 11.622

6.  Identification of transmembrane protein 88 (TMEM88) as a dishevelled-binding protein.

Authors:  Ho-Jin Lee; David Finkelstein; Xiaofeng Li; Dianqing Wu; De-Li Shi; Jie J Zheng
Journal:  J Biol Chem       Date:  2010-11-02       Impact factor: 5.157

7.  Evidence for the additions of clustered interacting nodes during the evolution of protein interaction networks from network motifs.

Authors:  Zhongyang Liu; Qijun Liu; Hanchang Sun; Lin Hou; Hao Guo; Yunping Zhu; Dong Li; Fuchu He
Journal:  BMC Evol Biol       Date:  2011-05-20       Impact factor: 3.260

8.  Building and analyzing protein interactome networks by cross-species comparisons.

Authors:  Amy M Wiles; Mark Doderer; Jianhua Ruan; Ting-Ting Gu; Dashnamoorthy Ravi; Barron Blackman; Alexander J R Bishop
Journal:  BMC Syst Biol       Date:  2010-03-30

Review 9.  Proteomics-based methods for discovery, quantification, and validation of protein-protein interactions.

Authors:  Yana V Miteva; Hanna G Budayeva; Ileana M Cristea
Journal:  Anal Chem       Date:  2012-12-12       Impact factor: 6.986

10.  Multiplexed isobaric tagging protocols for quantitative mass spectrometry approaches to auditory research.

Authors:  Douglas E Vetter; Johnvesly Basappa; Sevin Turcan
Journal:  Methods Mol Biol       Date:  2009
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