Cited by 18Protein Structure and DynamicsEnzyme Structure and FunctionComputational Drug Discovery Methods

Flexible backbone assembly and refinement of symmetrical homomeric complexes

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Roy Burman, Shourya S., Yovanno, Remy A., Gray, Jeffrey J.·2019·Structure

Published version of a preprint

Abstract

Symmetrical homomeric proteins are ubiquitous in every domain of life, and information about their structure is essential to decipher function. The size of these complexes often makes them intractable to high-resolution structure determination experiments. Computational docking algorithms offer a promising alternative for modeling large complexes with arbitrary symmetry. Accuracy of existing algorithms, however, is limited by backbone inaccuracies when using homology-modeled monomers. Here, we present Rosetta SymDock2 with a broad search of symmetrical conformational space using a six-dimensional coarse-grained score function followed by an all-atom flexible-backbone refinement, which we demonstrate to be essential for physically realistic modeling of tightly packed complexes. In global docking of a benchmark set of complexes of different point symmetries-starting from homology-modeled monomers-we successfully dock (defined as predicting three near-native structures in the five top-scoring models) 17 out of 31 cyclic complexes and 3 out of 12 dihedral complexes.

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Crossref · 10.1016/j.str.2019.03.014

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  • Despite significant progress, the local refinement problem remains a challenge, especially in cases of conformational changes in the backbone.

    “However, despite significant progress in this direction [26–29], the problem remains a challenge, especially in cases of conformational changes in the backbone.”

    From Challenges in protein docking (2020) · cites this paper as [28]

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Authors
Roy Burman, S. S., Yovanno, R. A., & Gray, J. J.
Affiliations
Johns Hopkins University (US)
Corresponding author
Gray, Jeffrey J.
Venue
Structure
Publisher
Elsevier BV
Published
2019-06
Volume
27
Issue
6
Pages
1041-1051.e8
ISSN
0969-2126 (ISSN-L)
OpenAlex
W2951033067
Cited by
18
References
55
Citations by year
2026: 2 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 3 · 2019: 2
FWCI
0.74
Type
journal article
Language
en
Open access
Locations
  • Structure (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (R01-GM078221, T32-GM008403)
  • National Science Foundation (1507736)
  • Maryland Advanced Research Computing Center
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
homology modeling, cyclic complexes, point symmetry, conformational search
MeSH terms
Algorithms, Protein Binding, Protein Conformation, Proteins, Reproducibility of Results, Computational Biology, Protein Interaction Mapping, Protein Multimerization, Molecular Docking Simulation

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