Evidence map›Paper›PMID 27535582›Full record

ArticleScientific reports2016

GalaxyRefineComplex: Refinement of protein-protein complex model structures driven by interface repacking.

Lim Heo, Hasup Lee, Chaok Seok

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Article
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  7. Frontiers in cellular and infection microbiology · 2026
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  8. Design of B-Cell Multi-Epitope Subunit Vaccines AgainstTransboundary and emerging diseases · 2026
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  18. Ion and water permeation through claudin-10b and claudin-15 paracellular channels.Computational and structural biotechnology journal · 2024
    Article
  19. Article
  20. Review

7 more citing papers are in PubMed but not listed here.

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

3 authors.

Lim HeoDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
Hasup LeeDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.
Chaok SeokDepartment of Chemistry, Seoul National University, Seoul 08826, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein docking methods have been widely used to gain an atomic-level understanding of protein interactions. However, docking methods that employ low-resolution energy functions are popular because of computational efficiency. Low-resolution docking tends to generate protein complex structures that are not fully optimized. GalaxyRefineComplex takes such low-resolution docking structures and refines them to improve model accuracy in terms of both interface contact and inter-protein orientation. This refinement method allows flexibility at the protein interface and in the overall docking structure to capture conformational changes that occur upon binding. Symmetric refinement is also provided for symmetric homo-complexes. This method was validated by refining models produced by available docking programs, including ZDOCK and M-ZDOCK, and was successfully applied to CAPRI targets in a blind fashion. An example of using the refinement method with an existing docking method for ligand binding mode prediction of a drug target is also presented. A web server that implements the method is freely available at http://galaxy.seoklab.org/refinecomplex.

Indexed as

SoftwareBinding SitesHIV IntegraseHumansLigandsMolecular Docking SimulationProtein BindingProteinsProtein Structure, TertiaryHIV IntegraseLigandsp31 integrase protein, Human immunodeficiency virus 1Proteins

Identifiers

PMID27535582
PMCPMC4989233

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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.