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Topological Water Network Analysis Around Amino Acids

Water molecules play a key role in protein stability, folding, function and ligand binding. Protein hydration has been studied using free energy perturbation algorithms. However, the study of protein hydration without free energy calculation is also an active field of research. Accordingly, topologi...

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Autores principales: Choi, Kwang-Eun, Chae, Eunkyoung, Balupuri, Anand, Yoon, Hye Ree, Kang, Nam Sook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6681432/
https://www.ncbi.nlm.nih.gov/pubmed/31336667
http://dx.doi.org/10.3390/molecules24142653
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author Choi, Kwang-Eun
Chae, Eunkyoung
Balupuri, Anand
Yoon, Hye Ree
Kang, Nam Sook
author_facet Choi, Kwang-Eun
Chae, Eunkyoung
Balupuri, Anand
Yoon, Hye Ree
Kang, Nam Sook
author_sort Choi, Kwang-Eun
collection PubMed
description Water molecules play a key role in protein stability, folding, function and ligand binding. Protein hydration has been studied using free energy perturbation algorithms. However, the study of protein hydration without free energy calculation is also an active field of research. Accordingly, topological water network (TWN) analysis has been carried out instead of free energy calculation in the present work to investigate hydration of proteins. Water networks around 20 amino acids in the aqueous solution were explored through molecular dynamics (MD) simulations. These simulation results were compared with experimental observations. Water molecules from the protein data bank structures showed TWN patterns similar to MD simulations. This work revealed that TWNs are effected by the surrounding environment. TWNs could provide valuable clues about the environment around amino acid residues in the proteins. The findings from this study could be exploited for TWN-based drug discovery and development.
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spelling pubmed-66814322019-08-09 Topological Water Network Analysis Around Amino Acids Choi, Kwang-Eun Chae, Eunkyoung Balupuri, Anand Yoon, Hye Ree Kang, Nam Sook Molecules Article Water molecules play a key role in protein stability, folding, function and ligand binding. Protein hydration has been studied using free energy perturbation algorithms. However, the study of protein hydration without free energy calculation is also an active field of research. Accordingly, topological water network (TWN) analysis has been carried out instead of free energy calculation in the present work to investigate hydration of proteins. Water networks around 20 amino acids in the aqueous solution were explored through molecular dynamics (MD) simulations. These simulation results were compared with experimental observations. Water molecules from the protein data bank structures showed TWN patterns similar to MD simulations. This work revealed that TWNs are effected by the surrounding environment. TWNs could provide valuable clues about the environment around amino acid residues in the proteins. The findings from this study could be exploited for TWN-based drug discovery and development. MDPI 2019-07-22 /pmc/articles/PMC6681432/ /pubmed/31336667 http://dx.doi.org/10.3390/molecules24142653 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. 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
Choi, Kwang-Eun
Chae, Eunkyoung
Balupuri, Anand
Yoon, Hye Ree
Kang, Nam Sook
Topological Water Network Analysis Around Amino Acids
title Topological Water Network Analysis Around Amino Acids
title_full Topological Water Network Analysis Around Amino Acids
title_fullStr Topological Water Network Analysis Around Amino Acids
title_full_unstemmed Topological Water Network Analysis Around Amino Acids
title_short Topological Water Network Analysis Around Amino Acids
title_sort topological water network analysis around amino acids
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6681432/
https://www.ncbi.nlm.nih.gov/pubmed/31336667
http://dx.doi.org/10.3390/molecules24142653
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