Evidence map›Paper›PMID 25650913›Full record

ArticleBiophysical journal2015

A web interface for easy flexible protein-protein docking with ATTRACT.

Sjoerd J de Vries, Christina E M Schindler, Isaure Chauvot de Beauchêne, Martin Zacharias

Abstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. GRAMM Web Server for Protein Docking.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. How repertoire data are changing antibody science.The Journal of biological chemistry · 2020
    Review
  16. Article
  17. LightDock goes information-driven.Bioinformatics (Oxford, England) · 2020
    Article
  18. Methods for sequence and structural analysis of B and T cell receptor repertoires.Computational and structural biotechnology journal · 2020
    Review
  19. Protein-assisted RNA fragment docking (RnaX) for modeling RNA-protein interactions using ModelX.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

4 authors.

Sjoerd J de VriesPhysics Department, Technische Universität München, Garching, Germany. Electronic address: sjoerd@tum.de.
Christina E M SchindlerPhysics Department, Technische Universität München, Garching, Germany.
Isaure Chauvot de BeauchênePhysics Department, Technische Universität München, Garching, Germany.
Martin ZachariasPhysics Department, Technische Universität München, Garching, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein docking programs can give valuable insights into the structure of protein complexes in the absence of an experimental complex structure. Web interfaces can facilitate the use of docking programs by structural biologists. Here, we present an easy web interface for protein-protein docking with the ATTRACT program. While aimed at nonexpert users, the web interface still covers a considerable range of docking applications. The web interface supports systematic rigid-body protein docking with the ATTRACT coarse-grained force field, as well as various kinds of protein flexibility. The execution of a docking protocol takes up to a few hours on a standard desktop computer.

Indexed as

InternetSoftwareUser-Computer InterfaceAnimalsChemokine CCL2MiceModels, MolecularProtein BindingProtein Interaction MappingViral ProteinsCcl2 protein, mouseChemokine CCL2Viral Proteins

Identifiers

PMID25650913
PMCPMC4317529

What OpenQuestion holds

Textmetadata
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Registered trials

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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.