Cited by 38Protein Structure and DynamicsComputational Drug Discovery MethodsProtein Interaction Studies and Fluorescence Analysis

Analysis of Correlations between Energy and Residue Fluctuations in Native Proteins and Determination of Specific Sites for Binding

Haliloglu, Turkan, Erman, Burak·2009·Physical Review Letters

Abstract

The Gaussian network model is used to derive the correlations between energy and residue fluctuations in native proteins. Residues are identified that respond strongly to energy fluctuations and that display correlations with the remaining residues of the protein at the highest modes. We postulate that these residues are located at specific sites for drug binding. We test the validity of this postulate on a data set of 33 structurally distinct proteins in the unbound state. Detailed results are presented for drug binding to the HIV protease.

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Crossref · 10.1103/physrevlett.102.088103

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Authors
Haliloglu, T., & Erman, B.
Affiliations
Koç University (TR)
Venue
Physical Review Letters
Published
2009-02-27
Volume
102
Issue
8
Pages
088103-088103
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2062341807
Cited by
38
References
18
Citations by year
2024: 1 · 2022: 1 · 2021: 1 · 2020: 3 · 2017: 2 · 2016: 5 · 2015: 3 · 2014: 3 · 2013: 4
FWCI
2.01
Type
journal article
Language
en
Open access
closed
Locations
  • Physical Review Letters (publishedVersion)
  • PubMed (publishedVersion)
  • Digital Collections portal (Koç University) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Interaction Studies and Fluorescence Analysis
Keywords
energy fluctuations, residue fluctuations, native proteins, Gaussian network model, drug binding sites, HIV protease, drug-protein binding
MeSH terms
Binding Sites, Models, Chemical, Models, Molecular, Protein Binding, Proteins, Thermodynamics, HIV-1, Normal Distribution, HIV Protease

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