Literature DB >> 21060909

Correlating allostery with rigidity.

A J Rader1, Stephen M Brown.   

Abstract

Allosteric proteins demonstrate the phenomenon of a ligand binding to a protein at a regulatory or effector site and thereby changing the chemical affinity of the catalytic site. As such, allostery is extremely important biologically as a regulatory mechanism for molecular concentrations in many cellular processes. One particularly interesting feature of allostery is that often the catalytic and effector sites are separated by a large distance. Structural comparisons of allosteric proteins resolved in both inactive and active states indicate that a variety of structural rearrangement and changes in motions may contribute to general allosteric behavior. In general it is expected that the coupling of catalytic and regulatory sites is responsible for allosteric behavior. We utilize a novel examination of allostery using rigidity analysis of the underlying graph of the protein structures. Our results indicate a general global change in rigidity associated with allosteric transitions where the R state is more rigid than the T state. A set of allosteric proteins with heterotropic interactions is used to test the hypothesis that catalytic and effector sites are structurally coupled. Observation of a rigid path connecting the effector and catalytic sites in 68.75% of the structures points to rigidity as a means by which the distal sites communicate with each other and so contribute to allosteric regulation. Thus structural rigidity is shown to be a fundamental underlying property that promotes cooperativity and non-locality seen in allostery.

Entities:  

Mesh:

Year:  2010        PMID: 21060909     DOI: 10.1039/c0mb00054j

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  18 in total

1.  Local packing modulates diversity of iron pathways and cooperative behavior in eukaryotic and prokaryotic ferritins.

Authors:  Anatoly M Ruvinsky; Ilya A Vakser; Mario Rivera
Journal:  J Chem Phys       Date:  2014-03-21       Impact factor: 3.488

Review 2.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

3.  Probing L-pyruvate kinase regulatory phosphorylation site by mutagenesis.

Authors:  Ilona Faustova; Mart Loog; Jaak Järv
Journal:  Protein J       Date:  2012-10       Impact factor: 2.371

4.  Sparse group selection and analysis of function-related residue for protein-state recognition.

Authors:  Fangyun Bai; Kin Ming Puk; Jin Liu; Hongyu Zhou; Peng Tao; Wenyong Zhou; Shouyi Wang
Journal:  J Comput Chem       Date:  2022-06-03       Impact factor: 3.672

5.  Dancing through Life: Molecular Dynamics Simulations and Network-Centric Modeling of Allosteric Mechanisms in Hsp70 and Hsp110 Chaperone Proteins.

Authors:  Gabrielle Stetz; Gennady M Verkhivker
Journal:  PLoS One       Date:  2015-11-30       Impact factor: 3.240

6.  The role of strong electrostatic interactions at the dimer interface of human glutathione synthetase.

Authors:  Margarita C De Jesus; Brandall L Ingle; Khaldoon A Barakat; Bisesh Shrestha; Kerri D Slavens; Thomas R Cundari; Mary E Anderson
Journal:  Protein J       Date:  2014-10       Impact factor: 2.371

7.  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.

Authors:  Belinda Nazan Walpoth; Burak Erman
Journal:  F1000Res       Date:  2015-01-28

8.  Characterization of folding cores in the cyclophilin A-cyclosporin A complex.

Authors:  Jack W Heal; Stephen A Wells; Claudia A Blindauer; Robert B Freedman; Rudolf A Römer
Journal:  Biophys J       Date:  2015-04-07       Impact factor: 4.033

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.  Nodes having a major influence to break cooperation define a novel centrality measure: game centrality.

Authors:  Gabor I Simko; Peter Csermely
Journal:  PLoS One       Date:  2013-06-28       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.