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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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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. |
format | Online Article Text |
id | pubmed-4339319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT stanleynathaniel highthroughputmoleculardynamicsfordrugdiscovery AT defabritiisgianni highthroughputmoleculardynamicsfordrugdiscovery |