Literature DB >> 19257794

Analysis of correlations between energy and residue fluctuations in native proteins and determination of specific sites for binding.

Turkan Haliloglu1, Burak Erman.   

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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Year:  2009        PMID: 19257794     DOI: 10.1103/PhysRevLett.102.088103

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  15 in total

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2.  Cullin neddylation may allosterically tune polyubiquitin chain length and topology.

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5.  DNABINDPROT: fluctuation-based predictor of DNA-binding residues within a network of interacting residues.

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6.  Predicting important residues and interaction pathways in proteins using Gaussian Network Model: binding and stability of HLA proteins.

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Journal:  PLoS Comput Biol       Date:  2010-07-08       Impact factor: 4.475

7.  Identification of ligand binding sites of proteins using the Gaussian Network Model.

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Journal:  PLoS One       Date:  2011-01-25       Impact factor: 3.240

8.  Regulation of ryanodine receptor RyR2 by protein-protein interactions: prediction of a PKA binding site on the N-terminal domain of RyR2 and its relation to disease causing mutations.

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9.  Hot spots in a network of functional sites.

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10.  Sequence-based Gaussian network model for protein dynamics.

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