Evidence map›Paper›PMID 34176161›Full record

ArticleProteins2021

Modeling of protein complexes in CASP14 with emphasis on the interaction interface prediction.

Justas Dapkūnas, Kliment Olechnovič, Česlovas Venclovas

Open access · hybridAbstract read
In one paragraph

Article in Proteins, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Recent advances and challenges in protein complex model accuracy estimation.Computational and structural biotechnology journal · 2024
    Review
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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

3 authors at 1 institution in 1 country.

Justas DapkūnasInstitute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.ORCID 0000-0002-0496-6107
Kliment OlechnovičInstitute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.ORCID 0000-0003-4918-9505
Česlovas VenclovasInstitute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.ORCID 0000-0002-4215-0213
Vilnius University · LT

Funding

PRECURSORS OF PREMATURE DISEASE AND DEATHR01AG001760 · NIA · JOHNS HOPKINS UNIVERSITY · PI KLAG, MICHAEL J · 1985 to 2007
$3.8M
6 · The paper itself

Abstract

The goal of CASP experiments is to monitor the progress in the protein structure prediction field. During the 14th CASP edition we aimed to test our capabilities of predicting structures of protein complexes. Our protocol for modeling protein assemblies included both template-based modeling and free docking. Structural templates were identified using sensitive sequence-based searches. If sequence-based searches failed, we performed structure-based template searches using selected CASP server models. In the absence of reliable templates we applied free docking starting from monomers generated by CASP servers. We evaluated and ranked models of protein complexes using an improved version of our protein structure quality assessment method, VoroMQA, taking into account both interaction interface and global structure scores. If reliable templates could be identified, generally accurate models of protein assemblies were generated with the exception of an antibody-antigen interaction. The success of free docking mainly depended on the accuracy of initial subunit models and on the scoring of docking solutions. To put our overall results in perspective, we analyzed our performance in the context of other CASP groups. Although the subunits in our assembly models often were not of the top quality, these models had, overall, the best-predicted intersubunit interfaces according to several accuracy measures. We attribute our relative success primarily to the emphasis on the interaction interface when modeling and scoring.

Indexed as

Models, MolecularProtein ConformationProteinsSoftwareStructural Homology, ProteinBinding SitesComputational BiologyMolecular Docking SimulationProtein Interaction Domains and MotifsSequence Analysis, ProteinProteinsbinding sitesdockinghomology modelinginterface scoringmodel quality assessmentPPI3Dprotein complexesprotein-protein interactionstemplate-based modelingVoroMQA

Identifiers

PMID34176161
PMCPMC9292421
OpenAlexW3174242494

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.