Abstract
Discovery of new therapeutics is a very challenging, expensive and time-consuming process. With the number of approved drugs declining steadily, combined with increasing costs, a rational approach is needed to facilitate, expedite and streamline the drug discovery process. In silico methods are playing key roles in the discovery of a growing number of marketed drugs. The use of computational approaches, particularly molecular dynamics, in drug design is rapidly gaining momentum and acceptance as an essential part of the toolkit for modern drug discovery. From analysing atomistic details for explaining experimentally observed phenomena, to designing drugs with increased efficacy and specificity, the insight that such simulations can provide is generating new ideas and applications that have previously been unexplored. Here we discuss physics-based simulation methodologies and applications in drug design: from locating pockets to designing novel lead compounds, from small molecules to peptides. With developments in hardware, software and theory, the improved predictive abilities of in silico efforts are becoming an essential part of efficient, economic and accurate drug development strategies.
Keywords: Molecular dynamics, coarse grain, solvent mapping, staple peptides, antimicrobial peptides.
Current Pharmaceutical Design
Title:The Multifaceted Roles of Molecular Dynamics Simulations in Drug Discovery
Volume: 22 Issue: 23
Author(s): Stephen John Fox, Jianguo Li, Yaw Sing Tan, Minh N. Nguyen, Arumay Pal, Zohra Ouaray, Shilpa Yadahalli and Srinivasaraghavan Kannan
Affiliation:
Keywords: Molecular dynamics, coarse grain, solvent mapping, staple peptides, antimicrobial peptides.
Abstract: Discovery of new therapeutics is a very challenging, expensive and time-consuming process. With the number of approved drugs declining steadily, combined with increasing costs, a rational approach is needed to facilitate, expedite and streamline the drug discovery process. In silico methods are playing key roles in the discovery of a growing number of marketed drugs. The use of computational approaches, particularly molecular dynamics, in drug design is rapidly gaining momentum and acceptance as an essential part of the toolkit for modern drug discovery. From analysing atomistic details for explaining experimentally observed phenomena, to designing drugs with increased efficacy and specificity, the insight that such simulations can provide is generating new ideas and applications that have previously been unexplored. Here we discuss physics-based simulation methodologies and applications in drug design: from locating pockets to designing novel lead compounds, from small molecules to peptides. With developments in hardware, software and theory, the improved predictive abilities of in silico efforts are becoming an essential part of efficient, economic and accurate drug development strategies.
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Cite this article as:
John Fox Stephen, Li Jianguo, Sing Tan Yaw, N. Nguyen Minh, Pal Arumay, Ouaray Zohra, Yadahalli Shilpa and Kannan Srinivasaraghavan, The Multifaceted Roles of Molecular Dynamics Simulations in Drug Discovery, Current Pharmaceutical Design 2016; 22 (23) . https://dx.doi.org/10.2174/1381612822666160425120507
DOI https://dx.doi.org/10.2174/1381612822666160425120507 |
Print ISSN 1381-6128 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4286 |
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