Literature DB >> 12519994

InterDom: a database of putative interacting protein domains for validating predicted protein interactions and complexes.

See-Kiong Ng1, Zhuo Zhang, Soon-Heng Tan, Kui Lin.   

Abstract

Advances in proteomics technology have enabled new proteins to be discovered at an unprecedented speed, and high throughput experimental methods have been developed to detect protein interactions and complexes en masse. Such bottom-up, data-driven approach has resulted in data that may be uninformative or potentially errorful, requiring further validation and annotation. The InterDom database focuses on providing supporting evidence for the detected protein interactions based on putative protein domain interactions. Using an integrative approach, InterDom derives potential domain interactions by combining data from multiple sources, ranging from domain fusions, protein interactions and complexes, to scientific literature. The InterDom database is available at http://InterDom.lit.org.sg.

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Year:  2003        PMID: 12519994      PMCID: PMC165526          DOI: 10.1093/nar/gkg079

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  12 in total

1.  BIND--The Biomolecular Interaction Network Database.

Authors:  G D Bader; I Donaldson; C Wolting; B F Ouellette; T Pawson; C W Hogue
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

2.  Detecting protein function and protein-protein interactions from genome sequences.

Authors:  E M Marcotte; M Pellegrini; H L Ng; D W Rice; T O Yeates; D Eisenberg
Journal:  Science       Date:  1999-07-30       Impact factor: 47.728

3.  Toward Routine Automatic Pathway Discovery from On-line Scientific Text Abstracts.

Authors: 
Journal:  Genome Inform Ser Workshop Genome Inform       Date:  1999

4.  The Protein Data Bank: unifying the archive.

Authors:  John Westbrook; Zukang Feng; Shri Jain; T N Bhat; Narmada Thanki; Veerasamy Ravichandran; Gary L Gilliland; Wolfgang Bluhm; Helge Weissig; Douglas S Greer; Philip E Bourne; Helen M Berman
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

Review 5.  Text-based knowledge discovery: search and mining of life-sciences documents.

Authors:  Robert Mack; Michael Hehenberger
Journal:  Drug Discov Today       Date:  2002-06-01       Impact factor: 7.851

6.  The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000.

Authors:  A Bairoch; R Apweiler
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

7.  DIP, the Database of Interacting Proteins: a research tool for studying cellular networks of protein interactions.

Authors:  Ioannis Xenarios; Lukasz Salwínski; Xiaoqun Joyce Duan; Patrick Higney; Sul-Min Kim; David Eisenberg
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

8.  A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.

Authors:  P Uetz; L Giot; G Cagney; T A Mansfield; R S Judson; J R Knight; D Lockshon; V Narayan; M Srinivasan; P Pochart; A Qureshi-Emili; Y Li; B Godwin; D Conover; T Kalbfleisch; G Vijayadamodar; M Yang; M Johnston; S Fields; J M Rothberg
Journal:  Nature       Date:  2000-02-10       Impact factor: 49.962

9.  Global analysis of protein activities using proteome chips.

Authors:  H Zhu; M Bilgin; R Bangham; D Hall; A Casamayor; P Bertone; N Lan; R Jansen; S Bidlingmaier; T Houfek; T Mitchell; P Miller; R A Dean; M Gerstein; M Snyder
Journal:  Science       Date:  2001-07-26       Impact factor: 47.728

10.  A comprehensive two-hybrid analysis to explore the yeast protein interactome.

Authors:  T Ito; T Chiba; R Ozawa; M Yoshida; M Hattori; Y Sakaki
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

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  55 in total

1.  Computational approaches to protein-protein interaction.

Authors:  Giacomo Franzot; Oliviero Carugo
Journal:  J Struct Funct Genomics       Date:  2003

2.  InterWeaver: interaction reports for discovering potential protein interaction partners with online evidence.

Authors:  Zhuo Zhang; See-Kiong Ng
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  Prediction of human protein-protein interaction by a mixed Bayesian model and its application to exploring underlying cancer-related pathway crosstalk.

Authors:  Yan Xu; Wen Hu; Zhiqiang Chang; Huizi Duanmu; Shanzhen Zhang; Zhenqi Li; Zihui Li; Lili Yu; Xia Li
Journal:  J R Soc Interface       Date:  2010-10-13       Impact factor: 4.118

4.  Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations.

Authors:  Yuan Luo; Özlem Uzuner; Peter Szolovits
Journal:  Brief Bioinform       Date:  2016-02-05       Impact factor: 11.622

5.  PreSPI: a domain combination based prediction system for protein-protein interaction.

Authors:  Dong-Soo Han; Hong-Soog Kim; Woo-Hyuk Jang; Sung-Doke Lee; Jung-Keun Suh
Journal:  Nucleic Acids Res       Date:  2004-12-01       Impact factor: 16.971

6.  A data integration methodology for systems biology: experimental verification.

Authors:  Daehee Hwang; Jennifer J Smith; Deena M Leslie; Andrea D Weston; Alistair G Rust; Stephen Ramsey; Pedro de Atauri; Andrew F Siegel; Hamid Bolouri; John D Aitchison; Leroy Hood
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-21       Impact factor: 11.205

7.  Localization of protein-binding sites within families of proteins.

Authors:  Dmitry Korkin; Fred P Davis; Andrej Sali
Journal:  Protein Sci       Date:  2005-08-04       Impact factor: 6.725

8.  Prediction of human functional genetic networks from heterogeneous data using RVM-based ensemble learning.

Authors:  Chia-Chin Wu; Shahab Asgharzadeh; Timothy J Triche; David Z D'Argenio
Journal:  Bioinformatics       Date:  2010-02-04       Impact factor: 6.937

9.  Expression-based network biology identifies alteration in key regulatory pathways of type 2 diabetes and associated risk/complications.

Authors:  Urmi Sengupta; Sanchaita Ukil; Nevenka Dimitrova; Shipra Agrawal
Journal:  PLoS One       Date:  2009-12-07       Impact factor: 3.240

10.  GAIA: a gram-based interaction analysis tool--an approach for identifying interacting domains in yeast.

Authors:  Kelvin X Zhang; B F Francis Ouellette
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

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