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Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools

This review discusses the use of molecular modeling tools, together with existing experimental findings, to provide a complete atomic-level description of enzyme dynamics and function. We focus on functionally relevant conformational dynamics of enzymes and the protonation states of substrates. The...

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Autores principales: Chang, Chia-En A., Huang, Yu-Ming M., Mueller, Leonard J., You, Wanli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5119520/
https://www.ncbi.nlm.nih.gov/pubmed/27885336
http://dx.doi.org/10.3390/catal6060082
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author Chang, Chia-En A.
Huang, Yu-Ming M.
Mueller, Leonard J.
You, Wanli
author_facet Chang, Chia-En A.
Huang, Yu-Ming M.
Mueller, Leonard J.
You, Wanli
author_sort Chang, Chia-En A.
collection PubMed
description This review discusses the use of molecular modeling tools, together with existing experimental findings, to provide a complete atomic-level description of enzyme dynamics and function. We focus on functionally relevant conformational dynamics of enzymes and the protonation states of substrates. The conformational fluctuations of enzymes usually play a crucial role in substrate recognition and catalysis. Protein dynamics can be altered by a tiny change in a molecular system such as different protonation states of various intermediates or by a significant perturbation such as a ligand association. Here we review recent advances in applying atomistic molecular dynamics (MD) simulations to investigate allosteric and network regulation of tryptophan synthase (TRPS) and protonation states of its intermediates and catalysis. In addition, we review studies using quantum mechanics/molecular mechanics (QM/MM) methods to investigate the protonation states of catalytic residues of β-Ketoacyl ACP synthase I (KasA). We also discuss modeling of large-scale protein motions for HIV-1 protease with coarse-grained Brownian dynamics (BD) simulations.
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spelling pubmed-51195202016-11-22 Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools Chang, Chia-En A. Huang, Yu-Ming M. Mueller, Leonard J. You, Wanli Catalysts Article This review discusses the use of molecular modeling tools, together with existing experimental findings, to provide a complete atomic-level description of enzyme dynamics and function. We focus on functionally relevant conformational dynamics of enzymes and the protonation states of substrates. The conformational fluctuations of enzymes usually play a crucial role in substrate recognition and catalysis. Protein dynamics can be altered by a tiny change in a molecular system such as different protonation states of various intermediates or by a significant perturbation such as a ligand association. Here we review recent advances in applying atomistic molecular dynamics (MD) simulations to investigate allosteric and network regulation of tryptophan synthase (TRPS) and protonation states of its intermediates and catalysis. In addition, we review studies using quantum mechanics/molecular mechanics (QM/MM) methods to investigate the protonation states of catalytic residues of β-Ketoacyl ACP synthase I (KasA). We also discuss modeling of large-scale protein motions for HIV-1 protease with coarse-grained Brownian dynamics (BD) simulations. 2016-05-31 2016-06 /pmc/articles/PMC5119520/ /pubmed/27885336 http://dx.doi.org/10.3390/catal6060082 Text en http://creativecommons.org/licenses/by/4.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chang, Chia-En A.
Huang, Yu-Ming M.
Mueller, Leonard J.
You, Wanli
Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools
title Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools
title_full Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools
title_fullStr Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools
title_full_unstemmed Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools
title_short Investigation of Structural Dynamics of Enzymes and Protonation States of Substrates Using Computational Tools
title_sort investigation of structural dynamics of enzymes and protonation states of substrates using computational tools
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5119520/
https://www.ncbi.nlm.nih.gov/pubmed/27885336
http://dx.doi.org/10.3390/catal6060082
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