Evidence map›Paper›PMID 17517763›Full record

ArticleNucleic acids research2007

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

Yung-Chiang Chen, Yu-Shu Lo, Wen-Chang Hsu, Jinn-Moon Yang

Abstract read
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
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  6. Article
  7. Article
  8. Structural bioinformatics of the interactome.Annual review of biophysics · 2014
    Review
  9. Article
  10. Article
  11. Article
  12. Computing the protein binding sites.BMC bioinformatics · 2012
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Yung-Chiang ChenInstitute of Bioinformatics, National Chiao Tung University, Hsinchu, 30050, Taiwan.
Yu-Shu Lo
Wen-Chang Hsu
Jinn-Moon Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 3D-partner is a web tool to predict interacting partners and binding models of a query protein sequence through structure complexes and a new scoring function. 3D-partner first utilizes IMPALA to identify homologous structures (templates) of a query from a heterodimer profile library. The interacting-partner sequence profiles of these templates are then used to search interacting candidates of the query from protein sequence databases (e.g. SwissProt) by PSI-BLAST. We developed a new scoring function, which includes the contact-residue interacting score (e.g. the steric, hydrogen bonds, and electrostatic interactions) and the template consensus score (e.g. couple-conserved residue and the template similarity scores), to evaluate how well the interfaces between the query and interacting candidates. Based on this scoring function, 3D-partner provides the statistic significance, the binding models (e.g. hydrogen bonds and conserved amino acids) and functional annotations of interacting partners. The correlation between experimental energies and predicted binding affinities of our scoring function is 0.91 on 275 mutated residues from the ASEdb. The average precision of the server is 0.72 on 563 queries and the execution time of this server for a query is approximately 15 s on average. These results suggest that the 3D-partner server can be useful in protein-protein interaction predictions and binding model visualizations. The server is available online at: http://3D-partner.life.nctu.edu.tw.

Indexed as

Databases, ProteinProtein Structure, TertiarySequence Analysis, ProteinAmino Acid SequenceBinding SitesComputer GraphicsGene Expression ProfilingMolecular Sequence DataProtein BindingProtein Interaction MappingProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence Homology, Amino AcidUser-Computer InterfaceProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID17517763
PMCPMC1933210

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.