Cited by 53Protein Structure and DynamicsEnzyme Structure and FunctionComputational Drug Discovery Methods

ClusPro-DC: dimer classification by the Cluspro server for protein–protein docking

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Yueh, Christine, Hall, David R., Xia, Bing, Padhorny, Dzmitry, Kozakov, Dima, Vajda, Sandor·2017·Journal of Molecular Biology

Abstract

ClusPro-DC (https://cluspro.bu.edu/) implements a straightforward approach to the discrimination between crystallographic and biological dimers by docking the two subunits to exhaustively sample the interaction energy landscape. If a substantial number of low energy docked poses cluster in a narrow vicinity of the native structure of the dimer, then one can assume that there is a well-defined free energy well around the native state, which makes the interaction stable. In contrast, if the interaction sites in the docked poses do not form a large enough cluster around the native structure, then it is unlikely that the subunits form a stable biological dimer. The number of near-native structures is used to estimate the probability of a dimer being biological. Currently, the server examines only the stability of a given interface rather than generating all putative quaternary structures as accomplished by PISA or EPPIC, but it complements the information provided by these methods.

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  • Studies have shown that exploration of the intermolecular energy landscapes based on the docking output is helpful in distinguishing interacting and non-interacting proteins.

    “Since these landscapes should be different for strongly and weakly interacting proteins, studies have shown that exploration of the intermolecular energy landscapes based on the docking output is helpful in distinguishing interacting and non-interacting proteins [45,46].”

    From Challenges in protein docking (2020) · cites this paper as [45]

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Authors
Yueh, C., Hall, D. R., Xia, B., Padhorny, D., Kozakov, D., & Vajda, S.
Affiliations
  • Boston University (US)
  • Acpharis (US)
  • Stony Brook University (US)
Venue
Journal of Molecular Biology
Publisher
Elsevier BV
Published
2017-02
Volume
429
Issue
3
Pages
372-381
ISSN
0022-2836 (ISSN-L)
OpenAlex
W2533605840
Cited by
53
References
25
Citations by year
2026: 5 · 2025: 9 · 2024: 11 · 2023: 4 · 2022: 6 · 2021: 5 · 2020: 4 · 2019: 3 · 2018: 2 · 2017: 2 · 2016: 2
FWCI
1.56
Type
journal article
Language
en
Open access
Locations
  • Journal of Molecular Biology (acceptedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health/ National Institute of General Medical Sciences (R35-GM118078, R01-GM061867)
  • National Science FoundationNational Science Foundation (NSF) (DBI 1458509)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
Keywords
protein-protein docking, interfacial stability, quaternary structure
MeSH terms
Escherichia coli, Protein Conformation, Proteins, X-Rays, Protein Interaction Mapping, Databases, Protein, Molecular Docking Simulation

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