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High throughput molecular dynamics for drug discovery

Molecular dynamics simulations hold the promise to be an important tool for biological research and drug discovery. Historically, however, there were several obstacles for it to become a practical research tool. Limitations in computer hardware had previously made it difficult to simulate for long e...

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Detalles Bibliográficos
Autores principales: Stanley, Nathaniel, De Fabritiis, Gianni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4339319/
https://www.ncbi.nlm.nih.gov/pubmed/25717426
http://dx.doi.org/10.1186/s40203-015-0007-0
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author Stanley, Nathaniel
De Fabritiis, Gianni
author_facet Stanley, Nathaniel
De Fabritiis, Gianni
author_sort Stanley, Nathaniel
collection PubMed
description Molecular dynamics simulations hold the promise to be an important tool for biological research and drug discovery. Historically, however, there were several obstacles for it to become a practical research tool. Limitations in computer hardware had previously made it difficult to simulate for long enough to see interesting biological processes. Recent improvements in hardware and algorithms have largely removed this issue, leaving data analysis as the main obstacle. Advances in Markov state modeling appear to be on the way to remove this obstacle. We outline these advances here and discuss numerous recent studies that demonstrate that molecular dynamics simulations will start to be an important tool for pharmaceutical research.
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spelling pubmed-43393192015-02-26 High throughput molecular dynamics for drug discovery Stanley, Nathaniel De Fabritiis, Gianni In Silico Pharmacol Review Molecular dynamics simulations hold the promise to be an important tool for biological research and drug discovery. Historically, however, there were several obstacles for it to become a practical research tool. Limitations in computer hardware had previously made it difficult to simulate for long enough to see interesting biological processes. Recent improvements in hardware and algorithms have largely removed this issue, leaving data analysis as the main obstacle. Advances in Markov state modeling appear to be on the way to remove this obstacle. We outline these advances here and discuss numerous recent studies that demonstrate that molecular dynamics simulations will start to be an important tool for pharmaceutical research. Springer Berlin Heidelberg 2015-02-13 /pmc/articles/PMC4339319/ /pubmed/25717426 http://dx.doi.org/10.1186/s40203-015-0007-0 Text en © Stanley and De Fabritiis; licensee Springer. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Review
Stanley, Nathaniel
De Fabritiis, Gianni
High throughput molecular dynamics for drug discovery
title High throughput molecular dynamics for drug discovery
title_full High throughput molecular dynamics for drug discovery
title_fullStr High throughput molecular dynamics for drug discovery
title_full_unstemmed High throughput molecular dynamics for drug discovery
title_short High throughput molecular dynamics for drug discovery
title_sort high throughput molecular dynamics for drug discovery
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4339319/
https://www.ncbi.nlm.nih.gov/pubmed/25717426
http://dx.doi.org/10.1186/s40203-015-0007-0
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