Evidence map›Paper›PMID 22984947›Full record

ArticleBMC bioinformatics2012

Correlation analysis of the side-chains conformational distribution in bound and unbound proteins.

Tatsiana Kirys, Anatoly M Ruvinsky, Alexander V Tuzikov, Ilya A Vakser

Abstract read
In one paragraph

Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Characterising Side Chain Conformations in Proteins UsingChemistry (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  2. Review
  3. The impact of side-chain packing on protein docking refinement.Journal of chemical information and modeling · 2015
    Article
  4. Article
  5. Low-resolution structural modeling of protein interactome.Current opinion in structural biology · 2013
    Review
  6. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tatsiana KirysCenter for Bioinformatics, The University of Kansas, Lawrence, KS 66047, USA.
Anatoly M Ruvinsky
Alexander V Tuzikov
Ilya A Vakser

Funding

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

Abstract

backgroundProtein interactions play a key role in life processes. Characterization of conformational properties of protein-protein interactions is important for understanding the mechanisms of protein association. The rapidly increasing amount of experimentally determined structures of proteins and protein-protein complexes provides foundation for research on protein interactions and complex formation. The knowledge of the conformations of the surface side chains is essential for modeling of protein complexes. The purpose of this study was to analyze and compare dihedral angle distribution functions of the side chains at the interface and non-interface areas in bound and unbound proteins.

resultsTo calculate the dihedral angle distribution functions, the configuration space was divided into grid cells. Statistical analysis showed that the similarity between bound and unbound interface and non-interface surface depends on the amino acid type and the grid resolution. The correlation coefficients between the distribution functions increased with the grid spacing increase for all amino acid types. The Manhattan distance showing the degree of dissimilarity between the distribution functions decreased accordingly. Short residues with one or two dihedral angles had higher correlations and smaller Manhattan distances than the longer residues. Met and Arg had the slowest growth of the correlation coefficient with the grid spacing increase. The correlations between the interface and non-interface distribution functions had a similar dependence on the grid resolution in both bound and unbound states. The interface and non-interface differences between bound and unbound distribution functions, caused by biological protein-protein interactions or crystal contacts, disappeared at the 70° grid spacing for interfaces and 30° for non-interface surface, which agrees with an average span of the side-chain rotamers.

conclusionsThe two-fold difference in the critical grid spacing indicates larger conformational changes upon binding at the interface than at the rest of the surface. At the same time, transitions between rotamers induced by interactions across the interface or the crystal packing are rare, with most side chains having local readjustments that do not change the rotameric state. The analysis is important for better understanding of protein interactions and development of flexible docking approaches.

Indexed as

Protein ConformationAmino AcidsModels, MolecularMultiprotein ComplexesProtein BindingProteinsAmino AcidsMultiprotein ComplexesProteins

Identifiers

PMID22984947
PMCPMC3479416

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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.