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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...

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Detalles Bibliográficos
Autores principales: Nichols, Sara E, Swift, Robert V, Amaro, Rommie E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2012
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.
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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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