Evidence map›Paper›PMID 19591676›Full record

ArticleBMC structural biology2009

Large-scale evaluation of dynamically important residues in proteins predicted by the perturbation analysis of a coarse-grained elastic model.

Wenjun Zheng, Mustafa Tekpinar

Abstract read
In one paragraph

Article in BMC structural biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  5. Integrated Computational Approaches and Tools forAllosteric Drug Discovery.International journal of molecular sciences · 2020
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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Wenjun ZhengPhysics Department, University at Buffalo, Buffalo, NY 14260, USA. wjzheng@buffalo.edu
Mustafa Tekpinar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is increasingly recognized that protein functions often require intricate conformational dynamics, which involves a network of key amino acid residues that couple spatially separated functional sites. Tremendous efforts have been made to identify these key residues by experimental and computational means.

resultsWe have performed a large-scale evaluation of the predictions of dynamically important residues by a variety of computational protocols including three based on the perturbation and correlation analysis of a coarse-grained elastic model. This study is performed for two lists of test cases with >500 pairs of protein structures. The dynamically important residues predicted by the perturbation and correlation analysis are found to be strongly or moderately conserved in >67% of test cases. They form a sparse network of residues which are clustered both in 3D space and along protein sequence. Their overall conservation is attributed to their dynamic role rather than ligand binding or high network connectivity.

conclusionBy modeling how the protein structural fluctuations respond to residue-position-specific perturbations, our highly efficient perturbation and correlation analysis can be used to dissect the functional conformational changes in various proteins with a residue level of detail. The predictions of dynamically important residues serve as promising targets for mutational and functional studies.

Indexed as

Models, MolecularProtein ConformationAlgorithmsAmino AcidsComputer SimulationDatabases, ProteinKinesinsMyoglobinProtein FoldingProtein Structure, TertiaryAmino AcidsKinesinsMyoglobin

Identifiers

PMID19591676
PMCPMC2719638

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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.