Literature DB >> 21159618

A geometry-based generic predictor for catalytic and allosteric sites.

Simon Mitternacht1, Igor N Berezovsky.   

Abstract

An important aspect of understanding protein allostery, and of artificial effector design, is the characterization and prediction of substrate- and effector-binding sites. To find binding sites in allosteric enzymes, many of which are oligomeric with allosteric sites at domain interfaces, we devise a local centrality measure for residue interaction graphs, which behaves well for both small/monomeric and large/multimeric proteins. The measure is purely structure based and has a clear geometrical interpretation and no free parameters. It is not biased towards typically catalytic residues, a property that is crucial when looking for non-catalytic effector sites, which are potent drug targets.

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Year:  2010        PMID: 21159618     DOI: 10.1093/protein/gzq115

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.650


  13 in total

Review 1.  Computational Advances for the Development of Allosteric Modulators and Bitopic Ligands in G Protein-Coupled Receptors.

Authors:  Zhiwei Feng; Guanxing Hu; Shifan Ma; Xiang-Qun Xie
Journal:  AAPS J       Date:  2015-05-05       Impact factor: 4.009

2.  Identifying Allosteric Hotspots with Dynamics: Application to Inter- and Intra-species Conservation.

Authors:  Declan Clarke; Anurag Sethi; Shantao Li; Sushant Kumar; Richard W F Chang; Jieming Chen; Mark Gerstein
Journal:  Structure       Date:  2016-04-07       Impact factor: 5.006

3.  MCPath: Monte Carlo path generation approach to predict likely allosteric pathways and functional residues.

Authors:  Cihan Kaya; Andac Armutlulu; Solen Ekesan; Turkan Haliloglu
Journal:  Nucleic Acids Res       Date:  2013-06-05       Impact factor: 16.971

4.  Binding leverage as a molecular basis for allosteric regulation.

Authors:  Simon Mitternacht; Igor N Berezovsky
Journal:  PLoS Comput Biol       Date:  2011-09-15       Impact factor: 4.475

5.  Prediction of protein-binding areas by small-world residue networks and application to docking.

Authors:  Carles Pons; Fabian Glaser; Juan Fernandez-Recio
Journal:  BMC Bioinformatics       Date:  2011-09-26       Impact factor: 3.169

6.  Coherent conformational degrees of freedom as a structural basis for allosteric communication.

Authors:  Simon Mitternacht; Igor N Berezovsky
Journal:  PLoS Comput Biol       Date:  2011-12-08       Impact factor: 4.475

7.  CLIPS-1D: analysis of multiple sequence alignments to deduce for residue-positions a role in catalysis, ligand-binding, or protein structure.

Authors:  Jan-Oliver Janda; Markus Busch; Fabian Kück; Mikhail Porfenenko; Rainer Merkl
Journal:  BMC Bioinformatics       Date:  2012-04-05       Impact factor: 3.169

8.  Systematic Mapping of Protein Mutational Space by Prolonged Drift Reveals the Deleterious Effects of Seemingly Neutral Mutations.

Authors:  Liat Rockah-Shmuel; Ágnes Tóth-Petróczy; Dan S Tawfik
Journal:  PLoS Comput Biol       Date:  2015-08-14       Impact factor: 4.475

9.  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

10.  SPACER: Server for predicting allosteric communication and effects of regulation.

Authors:  Alexander Goncearenco; Simon Mitternacht; Taipang Yong; Birgit Eisenhaber; Frank Eisenhaber; Igor N Berezovsky
Journal:  Nucleic Acids Res       Date:  2013-06-03       Impact factor: 16.971

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