Literature DB >> 17503393

DAPID: a 3D-domain annotated protein-protein interaction database.

Yung-Chiang Chen1, Heng-Chu Chen, Jinn-Moon Yang.   

Abstract

DAPID is a database of domain-annotated protein interactions inferred from three-dimensional (3D) interacting domains of protein complexes in the Protein Data Bank (PDB). The DAPID data model allows users to visualize 3D interacting domains, contact residues, and molecular details of any predicted protein-protein interactions. Our model derives these interactions by utilizing a new concept, called the ''3D-domain interologs'' which is similar to ''interologs''. In S. cerevisiae, there is 18.6% overlap between our predicted protein-protein interactions and ones in the DIP database. The mean correlation coefficient of the gene expression profiles of our predicted interactions is significantly higher than that for random pairs in S. cerevisiae. In addition, we find several novel interactions which are consistent with the functions of the proteins. The DAPID currently holds 1008 3D-interacting domain pairs and 101511 predicted 3D-domain annotated protein-protein interactions. It is available online at http://gemdock.life.nctu.edu.tw/dapid.

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Year:  2006        PMID: 17503393

Source DB:  PubMed          Journal:  Genome Inform        ISSN: 0919-9454


  5 in total

1.  3D-interologs: an evolution database of physical protein- protein interactions across multiple genomes.

Authors:  Yu-Shu Lo; Yung-Chiang Chen; Jinn-Moon Yang
Journal:  BMC Genomics       Date:  2010-12-01       Impact factor: 3.969

2.  Comprehensive, atomic-level characterization of structurally characterized protein-protein interactions: the PICCOLO database.

Authors:  George R Bickerton; Alicia P Higueruelo; Tom L Blundell
Journal:  BMC Bioinformatics       Date:  2011-07-29       Impact factor: 3.169

3.  Prediction of host - pathogen protein interactions between Mycobacterium tuberculosis and Homo sapiens using sequence motifs.

Authors:  Tong Huo; Wei Liu; Yu Guo; Cheng Yang; Jianping Lin; Zihe Rao
Journal:  BMC Bioinformatics       Date:  2015-03-26       Impact factor: 3.169

Review 4.  Flexibility and small pockets at protein-protein interfaces: New insights into druggability.

Authors:  Harry Jubb; Tom L Blundell; David B Ascher
Journal:  Prog Biophys Mol Biol       Date:  2015-02-07       Impact factor: 3.667

5.  3D-partner: a web server to infer interacting partners and binding models.

Authors:  Yung-Chiang Chen; Yu-Shu Lo; Wen-Chang Hsu; Jinn-Moon Yang
Journal:  Nucleic Acids Res       Date:  2007-05-21       Impact factor: 16.971

  5 in total

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