Cited by 174Protein Structure and DynamicsEnzyme Structure and FunctionComputational Drug Discovery Methods

Protein-Protein Complex Structure Predictions by Multimeric Threading and Template Recombination

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Mukherjee, Srayanta, Zhang, Yang·2011·Structure

Abstract

The total number of protein-protein complex structures currently available in the Protein Data Bank (PDB) is six times smaller than the total number of tertiary structures in the PDB, which limits the power of homology-based approaches to complex structure modeling. We present a threading-recombination approach, COTH, to boost the protein complex structure library by combining tertiary structure templates with complex alignments. The query sequences are first aligned to complex templates using a modified dynamic programming algorithm, guided by ab initio binding-site predictions. The monomer alignments are then shifted to the multimeric template framework by structural alignments. COTH was tested on 500 nonhomologous dimeric proteins, which can successfully detect correct templates for 50% of the cases after homologous templates are excluded, which significantly outperforms conventional homology modeling algorithms. It also shows a higher accuracy in interface modeling than rigid-body docking of unbound structures from ZDOCK although with lower coverage. These data demonstrate new avenues to model complex structures from nonhomologous templates.

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Authors
Mukherjee, S., & Zhang, Y.
Affiliations
University of Kansas (US)
Corresponding author
Zhang, Yang
Venue
Structure
Publisher
Elsevier BV
Published
2011-07
Volume
19
Issue
7
Pages
955-966
ISSN
0969-2126 (ISSN-L)
OpenAlex
W2139373949
Cited by
174
References
51
Citations by year
2026: 5 · 2025: 7 · 2024: 7 · 2023: 11 · 2022: 13 · 2021: 16 · 2020: 10 · 2019: 17 · 2018: 6 · 2017: 14 · 2016: 18 · 2015: 12 · 2014: 15 · 2013: 14 · 2012: 8
FWCI
4.93
Type
journal article
Language
en
Open access
Locations
  • Structure (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Science Foundation
  • National Institute of General Medical Sciences (GM-083107, R01GM084222, GM-084222, R01GM083107)
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 complex structure prediction, homology modeling, binding site prediction, structural alignment, dimeric protein, interface modeling, rigid-body docking
MeSH terms
Algorithms, Animals, Binding Sites, Humans, Models, Molecular, Protein Binding, Protein Conformation, Proteins, Software, Protein Folding, Computational Biology, Protein Interaction Mapping, Databases, Protein, Protein Multimerization

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