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Validation of Molecular Dynamics Simulations for Prediction of Three-Dimensional Structures of Small Proteins

Although various higher-order protein structure prediction methods have been developed, almost all of them were developed based on the three-dimensional (3D) structure information of known proteins. Here we predicted the short protein structures by molecular dynamics (MD) simulations in which only N...

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Autores principales: Kato, Koichi, Nakayoshi, Tomoki, Fukuyoshi, Shuichi, Kurimoto, Eiji, Oda, Akifumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151455/
https://www.ncbi.nlm.nih.gov/pubmed/29023395
http://dx.doi.org/10.3390/molecules22101716
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author Kato, Koichi
Nakayoshi, Tomoki
Fukuyoshi, Shuichi
Kurimoto, Eiji
Oda, Akifumi
author_facet Kato, Koichi
Nakayoshi, Tomoki
Fukuyoshi, Shuichi
Kurimoto, Eiji
Oda, Akifumi
author_sort Kato, Koichi
collection PubMed
description Although various higher-order protein structure prediction methods have been developed, almost all of them were developed based on the three-dimensional (3D) structure information of known proteins. Here we predicted the short protein structures by molecular dynamics (MD) simulations in which only Newton’s equations of motion were used and 3D structural information of known proteins was not required. To evaluate the ability of MD simulationto predict protein structures, we calculated seven short test protein (10–46 residues) in the denatured state and compared their predicted and experimental structures. The predicted structure for Trp-cage (20 residues) was close to the experimental structure by 200-ns MD simulation. For proteins shorter or longer than Trp-cage, root-mean square deviation values were larger than those for Trp-cage. However, secondary structures could be reproduced by MD simulations for proteins with 10–34 residues. Simulations by replica exchange MD were performed, but the results were similar to those from normal MD simulations. These results suggest that normal MD simulations can roughly predict short protein structures and 200-ns simulations are frequently sufficient for estimating the secondary structures of protein (approximately 20 residues). Structural prediction method using only fundamental physical laws are useful for investigating non-natural proteins, such as primitive proteins and artificial proteins for peptide-based drug delivery systems.
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spelling pubmed-61514552018-11-13 Validation of Molecular Dynamics Simulations for Prediction of Three-Dimensional Structures of Small Proteins Kato, Koichi Nakayoshi, Tomoki Fukuyoshi, Shuichi Kurimoto, Eiji Oda, Akifumi Molecules Article Although various higher-order protein structure prediction methods have been developed, almost all of them were developed based on the three-dimensional (3D) structure information of known proteins. Here we predicted the short protein structures by molecular dynamics (MD) simulations in which only Newton’s equations of motion were used and 3D structural information of known proteins was not required. To evaluate the ability of MD simulationto predict protein structures, we calculated seven short test protein (10–46 residues) in the denatured state and compared their predicted and experimental structures. The predicted structure for Trp-cage (20 residues) was close to the experimental structure by 200-ns MD simulation. For proteins shorter or longer than Trp-cage, root-mean square deviation values were larger than those for Trp-cage. However, secondary structures could be reproduced by MD simulations for proteins with 10–34 residues. Simulations by replica exchange MD were performed, but the results were similar to those from normal MD simulations. These results suggest that normal MD simulations can roughly predict short protein structures and 200-ns simulations are frequently sufficient for estimating the secondary structures of protein (approximately 20 residues). Structural prediction method using only fundamental physical laws are useful for investigating non-natural proteins, such as primitive proteins and artificial proteins for peptide-based drug delivery systems. MDPI 2017-10-12 /pmc/articles/PMC6151455/ /pubmed/29023395 http://dx.doi.org/10.3390/molecules22101716 Text en © 2017 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
Kato, Koichi
Nakayoshi, Tomoki
Fukuyoshi, Shuichi
Kurimoto, Eiji
Oda, Akifumi
Validation of Molecular Dynamics Simulations for Prediction of Three-Dimensional Structures of Small Proteins
title Validation of Molecular Dynamics Simulations for Prediction of Three-Dimensional Structures of Small Proteins
title_full Validation of Molecular Dynamics Simulations for Prediction of Three-Dimensional Structures of Small Proteins
title_fullStr Validation of Molecular Dynamics Simulations for Prediction of Three-Dimensional Structures of Small Proteins
title_full_unstemmed Validation of Molecular Dynamics Simulations for Prediction of Three-Dimensional Structures of Small Proteins
title_short Validation of Molecular Dynamics Simulations for Prediction of Three-Dimensional Structures of Small Proteins
title_sort validation of molecular dynamics simulations for prediction of three-dimensional structures of small proteins
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151455/
https://www.ncbi.nlm.nih.gov/pubmed/29023395
http://dx.doi.org/10.3390/molecules22101716
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