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


Journal

Proteins
ISSN: 1097-0134
Titre abrégé: Proteins
Pays: United States
ID NLM: 8700181

Informations de publication

Date de publication:
08 2020
Historique:
received: 18 09 2019
revised: 07 01 2020
accepted: 22 01 2020
pubmed: 30 1 2020
medline: 26 1 2021
entrez: 30 1 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 31994759
doi: 10.1002/prot.25875
pmc: PMC7375009
mid: NIHMS1551711
doi:

Substances chimiques

Ligands 0
Peptides 0
Proteins 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1070-1081

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM074255
Pays : United States
Organisme : NIH HHS
ID : R01GM074255
Pays : United States

Informations de copyright

© 2020 Wiley Periodicals, Inc.

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Auteurs

Devlina Chakravarty (D)

Computational Biology Program, The University of Kansas, Lawrence, Kansas.

G W McElfresh (GW)

Computational Biology Program, The University of Kansas, Lawrence, Kansas.

Petras J Kundrotas (PJ)

Computational Biology Program, The University of Kansas, Lawrence, Kansas.

Ilya A Vakser (IA)

Computational Biology Program, The University of Kansas, Lawrence, Kansas.
Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas.

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