Evidence map›Paper›PMID 28905425›Full record

ArticleProteins2018

Modeling CAPRI targets 110-120 by template-based and free docking using contact potential and combined scoring function.

Petras J Kundrotas, Ivan Anishchenko, Varsha D Badal, Madhurima Das, Taras Dauzhenka, Ilya A Vakser

Abstract read
In one paragraph

Article in Proteins, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. GRAMM Web Server for Protein Docking.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  2. Improved Antibody-Specific Epitope Prediction Using AlphaFold and AbAdapt.Chembiochem : a European journal of chemical biology · 2022
    Article
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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

6 authors.

Petras J KundrotasCenter for Computational Biology and Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas.
Ivan AnishchenkoCenter for Computational Biology and Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas.ORCID 0000-0003-3645-2044
Varsha D BadalCenter for Computational Biology and Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas.
Madhurima DasCenter for Computational Biology and Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas.
Taras DauzhenkaCenter for Computational Biology and Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas.
Ilya A VakserCenter for Computational Biology and Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas.ORCID 0000-0002-5743-2934

Funding

Integrated Resource for Protein Recognition StudiesR01GM074255 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI VAKSER, ILYA · 2005 to 2024
$6.2M
NIGMS NIH HHS R01 GM074255
6 · The paper itself

Abstract

The paper presents analysis of our template-based and free docking predictions in the joint CASP12/CAPRI37 round. A new scoring function for template-based docking was developed, benchmarked on the Dockground resource, and applied to the targets. The results showed that the function successfully discriminates the incorrect docking predictions. In correctly predicted targets, the scoring function was complemented by other considerations, such as consistency of the oligomeric states among templates, similarity of the biological functions, biological interface relevance, etc. The scoring function still does not distinguish well biological from crystal packing interfaces, and needs further development for the docking of bundles of α-helices. In the case of the trimeric targets, sequence-based methods did not find common templates, despite similarity of the structures, suggesting complementary use of structure- and sequence-based alignments in comparative docking. The results showed that if a good docking template is found, an accurate model of the interface can be built even from largely inaccurate models of individual subunits. Free docking however is very sensitive to the quality of the individual models. However, our newly developed contact potential detected approximate locations of the binding sites.

Indexed as

Databases, ProteinModels, MolecularProtein ConformationProtein MultimerizationSoftwareComputational BiologyHumansProtein BindingProteinsSequence Analysis, ProteinProteinsmodeling of protein complexesprotein-protein interactionsprotein recognitionstructure prediction

Identifiers

PMID28905425
PMCPMC5820180

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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.