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Prediction and Dissection of Widely-Varying Association Rate Constants of Actin-Binding Proteins

Actin is an abundant protein that constitutes a main component of the eukaryotic cytoskeleton. Its polymerization and depolymerization are regulated by a variety of actin-binding proteins. Their functions range from nucleation of actin polymerization to sequestering G-actin in 1∶1 complexes. The kin...

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Autores principales: Pang, Xiaodong, Zhou, Kenneth H., Qin, Sanbo, Zhou, Huan-Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464195/
https://www.ncbi.nlm.nih.gov/pubmed/23055910
http://dx.doi.org/10.1371/journal.pcbi.1002696
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author Pang, Xiaodong
Zhou, Kenneth H.
Qin, Sanbo
Zhou, Huan-Xiang
author_facet Pang, Xiaodong
Zhou, Kenneth H.
Qin, Sanbo
Zhou, Huan-Xiang
author_sort Pang, Xiaodong
collection PubMed
description Actin is an abundant protein that constitutes a main component of the eukaryotic cytoskeleton. Its polymerization and depolymerization are regulated by a variety of actin-binding proteins. Their functions range from nucleation of actin polymerization to sequestering G-actin in 1∶1 complexes. The kinetics of forming these complexes, with rate constants varying at least three orders of magnitude, is critical to the distinct regulatory functions. Previously we have developed a transient-complex theory for computing protein association mechanisms and association rate constants. The transient complex refers to an intermediate in which the two associating proteins have near-native separation and relative orientation but have yet to form short-range specific interactions of the native complex. The association rate constant is predicted as k (a) = k (a0) [Image: see text], where k (a0) is the basal rate constant for reaching the transient complex by free diffusion, and the Boltzmann factor captures the bias of long-range electrostatic interactions. Here we applied the transient-complex theory to study the association kinetics of seven actin-binding proteins with G-actin. These proteins exhibit three classes of association mechanisms, due to their different molecular shapes and flexibility. The 1000-fold k (a) variations among them can mostly be attributed to disparate electrostatic contributions. The basal rate constants also showed variations, resulting from the different shapes and sizes of the interfaces formed by the seven actin-binding proteins with G-actin. This study demonstrates the various ways that actin-binding proteins use physical properties to tune their association mechanisms and rate constants to suit distinct regulatory functions.
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spelling pubmed-34641952012-10-09 Prediction and Dissection of Widely-Varying Association Rate Constants of Actin-Binding Proteins Pang, Xiaodong Zhou, Kenneth H. Qin, Sanbo Zhou, Huan-Xiang PLoS Comput Biol Research Article Actin is an abundant protein that constitutes a main component of the eukaryotic cytoskeleton. Its polymerization and depolymerization are regulated by a variety of actin-binding proteins. Their functions range from nucleation of actin polymerization to sequestering G-actin in 1∶1 complexes. The kinetics of forming these complexes, with rate constants varying at least three orders of magnitude, is critical to the distinct regulatory functions. Previously we have developed a transient-complex theory for computing protein association mechanisms and association rate constants. The transient complex refers to an intermediate in which the two associating proteins have near-native separation and relative orientation but have yet to form short-range specific interactions of the native complex. The association rate constant is predicted as k (a) = k (a0) [Image: see text], where k (a0) is the basal rate constant for reaching the transient complex by free diffusion, and the Boltzmann factor captures the bias of long-range electrostatic interactions. Here we applied the transient-complex theory to study the association kinetics of seven actin-binding proteins with G-actin. These proteins exhibit three classes of association mechanisms, due to their different molecular shapes and flexibility. The 1000-fold k (a) variations among them can mostly be attributed to disparate electrostatic contributions. The basal rate constants also showed variations, resulting from the different shapes and sizes of the interfaces formed by the seven actin-binding proteins with G-actin. This study demonstrates the various ways that actin-binding proteins use physical properties to tune their association mechanisms and rate constants to suit distinct regulatory functions. Public Library of Science 2012-10-04 /pmc/articles/PMC3464195/ /pubmed/23055910 http://dx.doi.org/10.1371/journal.pcbi.1002696 Text en © 2012 Pang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Pang, Xiaodong
Zhou, Kenneth H.
Qin, Sanbo
Zhou, Huan-Xiang
Prediction and Dissection of Widely-Varying Association Rate Constants of Actin-Binding Proteins
title Prediction and Dissection of Widely-Varying Association Rate Constants of Actin-Binding Proteins
title_full Prediction and Dissection of Widely-Varying Association Rate Constants of Actin-Binding Proteins
title_fullStr Prediction and Dissection of Widely-Varying Association Rate Constants of Actin-Binding Proteins
title_full_unstemmed Prediction and Dissection of Widely-Varying Association Rate Constants of Actin-Binding Proteins
title_short Prediction and Dissection of Widely-Varying Association Rate Constants of Actin-Binding Proteins
title_sort prediction and dissection of widely-varying association rate constants of actin-binding proteins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3464195/
https://www.ncbi.nlm.nih.gov/pubmed/23055910
http://dx.doi.org/10.1371/journal.pcbi.1002696
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