Evidence map›Paper›PMID 18442990›Full record

ArticleNucleic acids research2008

HOMCOS: a server to predict interacting protein pairs and interacting sites by homology modeling of complex structures.

Naoshi Fukuhara, Takeshi Kawabata

Abstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

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0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Protein-protein interaction prediction with deep learning: A comprehensive review.Computational and structural biotechnology journal · 2022
    Review
  4. Article
  5. Article
  6. Methods for Molecular Modelling of Protein Complexes.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  7. Databases for Protein-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. HOMCOS: an updated server to search and model complex 3D structures.Journal of structural and functional genomics · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Naoshi FukuharaGraduate School of Information Science, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, Japan.
Takeshi Kawabata

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As protein-protein interactions are crucial in most biological processes, it is valuable to understand how and where protein pairs interact. We developed a web server HOMCOS (Homology Modeling of Complex Structure, http://biunit.naist.jp/homcos) to predict interacting protein pairs and interacting sites by homology modeling of complex structures. Our server is capable of three services. The first is modeling heterodimers from two query amino acid sequences posted by users. The server performs BLAST searches to identify homologous templates in the latest representative dataset of heterodimer structures generated from the PQS database. Structure validity is evaluated by the combination of sequence similarity and knowledge-based contact potential energy as previously described. The server generates a sequence-replaced model PDB file and a MODELLER script to build full atomic models of complex structures. The second service is modeling homodimers from one query sequence. The third service is identification of potentially interacting proteins for one query sequence. The server searches the dataset of heterodimer structures for a homologous template, outputs the candidate interacting sequences in the Uniprot database homologous for the interacting partner template proteins. These features are useful for wide range of researchers to predict putative interaction sites and interacting proteins.

Indexed as

Protein Interaction MappingSoftwareStructural Homology, ProteinBinding SitesDimerizationInternetModels, MolecularMultiprotein ComplexesSequence Analysis, ProteinMultiprotein Complexes

Identifiers

PMID18442990
PMCPMC2447736

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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.