Literature DB >> 23850142

Modeling protein association mechanisms and kinetics.

Huan-Xiang Zhou1, Paul A Bates.   

Abstract

Substantial advances have been made in modeling protein association mechanisms and in calculating association rate constants (ka). We now have a clear understanding of the physical factors underlying the wide range of experimental ka values. Half of the association problem, where ka is limited by diffusion, is perhaps solved, and for the other half, where conformational changes become rate-limiting, a number of promising methods are being developed for ka calculations. Notably, the binding kinetics of disordered proteins are receiving growing attention, with 'dock-and-coalesce' emerging as a general mechanism. Progress too has been made in the modeling of protein association kinetics under conditions mimicking the heterogeneous, crowded environments of cells, an endeavor that should ultimately lead to a better understanding of cellular functions.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23850142      PMCID: PMC3844007          DOI: 10.1016/j.sbi.2013.06.014

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  52 in total

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Journal:  J Am Chem Soc       Date:  2009-02-18       Impact factor: 15.419

2.  Kinetic partitioning between alternative protein-protein interactions controls a transcriptional switch.

Authors:  Huaying Zhao; Dorothy Beckett
Journal:  J Mol Biol       Date:  2008-05-03       Impact factor: 5.469

3.  Conformation gating as a mechanism for enzyme specificity.

Authors:  H X Zhou; S T Wlodek; J A McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  1998-08-04       Impact factor: 11.205

4.  Predicting kinetic constants of protein-protein interactions based on structural properties.

Authors:  Hongjun Bai; Kun Yang; Daqi Yu; Changsheng Zhang; Fangjin Chen; Luhua Lai
Journal:  Proteins       Date:  2010-12-06

5.  BDflex: a method for efficient treatment of molecular flexibility in calculating protein-ligand binding rate constants from brownian dynamics simulations.

Authors:  Nicholas Greives; Huan-Xiang Zhou
Journal:  J Chem Phys       Date:  2012-10-07       Impact factor: 3.488

6.  Allosteric inhibition through suppression of transient conformational states.

Authors:  Shiou-Ru Tzeng; Charalampos G Kalodimos
Journal:  Nat Chem Biol       Date:  2013-05-05       Impact factor: 15.040

7.  Modulation of an IDP binding mechanism and rates by helix propensity and non-native interactions: association of HIF1α with CBP.

Authors:  David De Sancho; Robert B Best
Journal:  Mol Biosyst       Date:  2011-09-02

8.  Rigid Body Energy Minimization on Manifolds for Molecular Docking.

Authors:  Hanieh Mirzaei; Dmitri Beglov; Ioannis Ch Paschalidis; Sandor Vajda; Pirooz Vakili; Dima Kozakov
Journal:  J Chem Theory Comput       Date:  2012-08-21       Impact factor: 6.006

9.  Cell type-specific importance of ras-c-raf complex association rate constants for MAPK signaling.

Authors:  Christina Kiel; Luis Serrano
Journal:  Sci Signal       Date:  2009-07-28       Impact factor: 8.192

Review 10.  Fundamental aspects of protein-protein association kinetics.

Authors:  G Schreiber; G Haran; H-X Zhou
Journal:  Chem Rev       Date:  2009-03-11       Impact factor: 60.622

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  36 in total

1.  Evidence for Two Distinct Binding Sites for Lipoprotein Lipase on Glycosylphosphatidylinositol-anchored High Density Lipoprotein-binding Protein 1 (GPIHBP1).

Authors:  Mart Reimund; Mikael Larsson; Oleg Kovrov; Sergo Kasvandik; Gunilla Olivecrona; Aivar Lookene
Journal:  J Biol Chem       Date:  2015-04-14       Impact factor: 5.157

Review 2.  Protein-protein docking: from interaction to interactome.

Authors:  Ilya A Vakser
Journal:  Biophys J       Date:  2014-10-21       Impact factor: 4.033

3.  Diffusion-induced competitive two-site binding.

Authors:  Irina V Gopich; Attila Szabo
Journal:  J Chem Phys       Date:  2019-03-07       Impact factor: 3.488

4.  Piconewton-Scale Analysis of Ras-BRaf Signal Transduction with Single-Molecule Force Spectroscopy.

Authors:  Chae-Seok Lim; Cheng Wen; Yanghui Sheng; Guangfu Wang; Zhuan Zhou; Shiqiang Wang; Huaye Zhang; Anpei Ye; J Julius Zhu
Journal:  Small       Date:  2017-08-15       Impact factor: 13.281

5.  Modeling complexes of modeled proteins.

Authors:  Ivan Anishchenko; Petras J Kundrotas; Ilya A Vakser
Journal:  Proteins       Date:  2016-10-24

6.  The dock-and-coalesce mechanism for the association of a WASP disordered region with the Cdc42 GTPase.

Authors:  Li Ou; Megan Matthews; Xiaodong Pang; Huan-Xiang Zhou
Journal:  FEBS J       Date:  2017-08-30       Impact factor: 5.542

7.  Linking 3D and 2D binding kinetics of membrane proteins by multiscale simulations.

Authors:  Zhong-Ru Xie; Jiawen Chen; Yinghao Wu
Journal:  Protein Sci       Date:  2014-10-21       Impact factor: 6.725

8.  Conformational frustration in calmodulin-target recognition.

Authors:  Swarnendu Tripathi; Qian Wang; Pengzhi Zhang; Laurel Hoffman; M Neal Waxham; Margaret S Cheung
Journal:  J Mol Recognit       Date:  2015-01-20       Impact factor: 2.137

9.  Multisite reversible association in membranes and solutions: From non-Markovian to Markovian kinetics.

Authors:  Irina V Gopich
Journal:  J Chem Phys       Date:  2020-03-14       Impact factor: 3.488

10.  Understand the Functions of Scaffold Proteins in Cell Signaling by a Mesoscopic Simulation Method.

Authors:  Zhaoqian Su; Kalyani Dhusia; Yinghao Wu
Journal:  Biophys J       Date:  2020-10-14       Impact factor: 4.033

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