Literature DB >> 22504137

High-throughput molecular dynamics: the powerful new tool for drug discovery.

Matthew J Harvey1, Gianni De Fabritiis.   

Abstract

Molecular dynamics simulations are capable of resolving molecular recognition processes with chemical accuracy, but their practical application is popularly considered limited to the timescale accessible to a single simulation, which is far below biological timescales. In this perspective article, we propose that the true limiting factor for molecular dynamics is rather the high hardware and electrical power costs, which constrain not only the length of runs but also the number that can be performed concurrently. As a result of innovation in accelerator processors and high-throughput protocols, the cost of molecular dynamics sampling has been dramatically reduced and we argue that molecular dynamics simulation is now placed to become a key technology for in silico drug discovery in terms of binding pathways, poses, kinetics and affinities.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22504137     DOI: 10.1016/j.drudis.2012.03.017

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  15 in total

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4.  What can we learn from molecular dynamics simulations for GPCR drug design?

Authors:  Christofer S Tautermann; Daniel Seeliger; Jan M Kriegl
Journal:  Comput Struct Biotechnol J       Date:  2014-12-10       Impact factor: 7.271

5.  High throughput molecular dynamics for drug discovery.

Authors:  Nathaniel Stanley; Gianni De Fabritiis
Journal:  In Silico Pharmacol       Date:  2015-02-13

6.  A dynamic view of molecular switch behavior at serotonin receptors: implications for functional selectivity.

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Journal:  PLoS One       Date:  2014-10-14       Impact factor: 3.240

7.  Accelerated flexible protein-ligand docking using Hamiltonian replica exchange with a repulsive biasing potential.

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Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

8.  Sidekick for Membrane Simulations: Automated Ensemble Molecular Dynamics Simulations of Transmembrane Helices.

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Journal:  J Chem Theory Comput       Date:  2014-05-13       Impact factor: 6.006

Review 9.  Rational prediction with molecular dynamics for hit identification.

Authors:  Sara E Nichols; Robert V Swift; Rommie E Amaro
Journal:  Curr Top Med Chem       Date:  2012       Impact factor: 3.295

Review 10.  Revealing Atomic-Level Mechanisms of Protein Allostery with Molecular Dynamics Simulations.

Authors:  Samuel Hertig; Naomi R Latorraca; Ron O Dror
Journal:  PLoS Comput Biol       Date:  2016-06-10       Impact factor: 4.475

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