Evidence map›Paper›PMID 31994759›Full record

ArticleProteins2020

How to choose templates for modeling of protein complexes: Insights from benchmarking template-based docking.

Devlina Chakravarty, G W McElfresh, Petras J Kundrotas, Ilya A Vakser

Open access · greenAbstract read
In one paragraph

Article in Proteins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. AnCurrent drug targets · 2026
    Article
  3. Article
  4. AlphaFold2 has more to learn about protein energy landscapes.bioRxiv : the preprint server for biology · 2023
    Article
  5. Characterization of epitranscriptome reader proteins experimentally andComputational and structural biotechnology journal · 2023
    Review
  6. Article
  7. Structural motifs in protein cores and at protein-protein interfaces are different.Protein science : a publication of the Protein Society · 2021
    Article
  8. Challenges in protein docking.Current opinion in structural biology · 2020
    Review
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 at 1 institution in 1 country.

Devlina ChakravartyComputational Biology Program, The University of Kansas, Lawrence, Kansas.
G W McElfreshComputational Biology Program, The University of Kansas, Lawrence, Kansas.
Petras J KundrotasComputational Biology Program, The University of Kansas, Lawrence, Kansas.
Ilya A VakserComputational Biology Program, The University of Kansas, Lawrence, Kansas.ORCID 0000-0002-5743-2934
University of Kansas · US

Funding

Integrated Resource for Protein Recognition StudiesR01GM074255 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI VAKSER, ILYA · 2005 to 2024
$6.2M
NIGMS NIH HHS R01 GM074255NIH HHS R01GM074255
6 · The paper itself

Abstract

Comparative docking is based on experimentally determined structures of protein-protein complexes (templates), following the paradigm that proteins with similar sequences and/or structures form similar complexes. Modeling utilizing structure similarity of target monomers to template complexes significantly expands structural coverage of the interactome. Template-based docking by structure alignment can be performed for the entire structures or by aligning targets to the bound interfaces of the experimentally determined complexes. Systematic benchmarking of docking protocols based on full and interface structure alignment showed that both protocols perform similarly, with top 1 docking success rate 26%. However, in terms of the models' quality, the interface-based docking performed marginally better. The interface-based docking is preferable when one would suspect a significant conformational change in the full protein structure upon binding, for example, a rearrangement of the domains in multidomain proteins. Importantly, if the same structure is selected as the top template by both full and interface alignment, the docking success rate increases 2-fold for both top 1 and top 10 predictions. Matching structural annotations of the target and template proteins for template detection, as a computationally less expensive alternative to structural alignment, did not improve the docking performance. Sophisticated remote sequence homology detection added templates to the pool of those identified by structure-based alignment, suggesting that for practical docking, the combination of the structure alignment protocols and the remote sequence homology detection may be useful in order to avoid potential flaws in generation of the structural templates library.

Indexed as

Molecular Docking SimulationSoftwareAmino Acid SequenceAnimalsBenchmarkingBinding SitesDogsEscherichia coliHumansLigandsPeptidesProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Interaction Domains and MotifsProtein Interaction MappingLigandsPeptidesProteinsprotein recognitionsequence homologystructure predictionstructure similaritytemplate detection

Identifiers

PMID31994759
PMCPMC7375009
OpenAlexW3003966498

What OpenQuestion holds

Textmetadata
LicenceTDM
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.