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Rational Prediction with Molecular Dynamics for Hit Identification
Although the motions of proteins are fundamental for their function, for pragmatic reasons, the consideration of protein elasticity has traditionally been neglected in drug discovery and design. This review details protein motion, its relevance to biomolecular interactions and how it can be sampled...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636520/ https://www.ncbi.nlm.nih.gov/pubmed/23110535 http://dx.doi.org/10.2174/156802612804910313 |
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author | Nichols, Sara E Swift, Robert V Amaro, Rommie E |
author_facet | Nichols, Sara E Swift, Robert V Amaro, Rommie E |
author_sort | Nichols, Sara E |
collection | PubMed |
description | Although the motions of proteins are fundamental for their function, for pragmatic reasons, the consideration of protein elasticity has traditionally been neglected in drug discovery and design. This review details protein motion, its relevance to biomolecular interactions and how it can be sampled using molecular dynamics simulations. Within this context, two major areas of research in structure-based prediction that can benefit from considering protein flexibility, binding site detection and molecular docking, are discussed. Basic classification metrics and statistical analysis techniques, which can facilitate performance analysis, are also reviewed. With hardware and software advances, molecular dynamics in combination with traditional structure-based prediction methods can potentially reduce the time and costs involved in the hit identification pipeline. |
format | Online Article Text |
id | pubmed-3636520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-36365202013-06-25 Rational Prediction with Molecular Dynamics for Hit Identification Nichols, Sara E Swift, Robert V Amaro, Rommie E Curr Top Med Chem Article Although the motions of proteins are fundamental for their function, for pragmatic reasons, the consideration of protein elasticity has traditionally been neglected in drug discovery and design. This review details protein motion, its relevance to biomolecular interactions and how it can be sampled using molecular dynamics simulations. Within this context, two major areas of research in structure-based prediction that can benefit from considering protein flexibility, binding site detection and molecular docking, are discussed. Basic classification metrics and statistical analysis techniques, which can facilitate performance analysis, are also reviewed. With hardware and software advances, molecular dynamics in combination with traditional structure-based prediction methods can potentially reduce the time and costs involved in the hit identification pipeline. Bentham Science Publishers 2012-09 2012-09 /pmc/articles/PMC3636520/ /pubmed/23110535 http://dx.doi.org/10.2174/156802612804910313 Text en © 2012 Bentham Science Publishers http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.5/), which permits unrestrictive use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Nichols, Sara E Swift, Robert V Amaro, Rommie E Rational Prediction with Molecular Dynamics for Hit Identification |
title | Rational Prediction with Molecular Dynamics for Hit Identification |
title_full | Rational Prediction with Molecular Dynamics for Hit Identification |
title_fullStr | Rational Prediction with Molecular Dynamics for Hit Identification |
title_full_unstemmed | Rational Prediction with Molecular Dynamics for Hit Identification |
title_short | Rational Prediction with Molecular Dynamics for Hit Identification |
title_sort | rational prediction with molecular dynamics for hit identification |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3636520/ https://www.ncbi.nlm.nih.gov/pubmed/23110535 http://dx.doi.org/10.2174/156802612804910313 |
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