Literature DB >> 22052504

Predicting binding sites by analyzing allosteric effects.

Dengming Ming1, Michael E Wall.   

Abstract

This chapter describes a method for analyzing the allosteric influence of molecular interactions on protein conformational distributions. The method, called Dynamics Perturbation Analysis (DPA), generally yields insights into allosteric effects in proteins and is especially useful for predicting ligand-binding sites. The use of DPA for binding site prediction is motivated by the following allosteric regulation hypothesis: interactions in native binding sites cause a large change in protein conformational distributions. Here, we review the reasoning behind this hypothesis, describe the math behind the method, and present a recipe for predicting binding sites using DPA.

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Year:  2012        PMID: 22052504     DOI: 10.1007/978-1-61779-334-9_23

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Text mining improves prediction of protein functional sites.

Authors:  Karin M Verspoor; Judith D Cohn; Komandur E Ravikumar; Michael E Wall
Journal:  PLoS One       Date:  2012-02-29       Impact factor: 3.240

2.  Exploiting protein flexibility to predict the location of allosteric sites.

Authors:  Alejandro Panjkovich; Xavier Daura
Journal:  BMC Bioinformatics       Date:  2012-10-25       Impact factor: 3.169

  2 in total

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