Abstract
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.
Keywords: Computational methods, docking, drug design, flexibility, molecular dynamics, structure-based prediction, validation, statistical performance analysis.
Current Topics in Medicinal Chemistry
Title:Rational Prediction with Molecular Dynamics for Hit Identification
Volume: 12 Issue: 18
Author(s): Sara E. Nichols, Robert V. Swift and Rommie E. Amaro
Affiliation:
Keywords: Computational methods, docking, drug design, flexibility, molecular dynamics, structure-based prediction, validation, statistical performance analysis.
Abstract: 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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Cite this article as:
E. Nichols Sara, V. Swift Robert and E. Amaro Rommie, Rational Prediction with Molecular Dynamics for Hit Identification, Current Topics in Medicinal Chemistry 2012; 12 (18) . https://dx.doi.org/10.2174/1568026611212180007
DOI https://dx.doi.org/10.2174/1568026611212180007 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
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