Literature DB >> 25615716

The impact of molecular dynamics on drug design: applications for the characterization of ligand-macromolecule complexes.

Jérémie Mortier1, Christin Rakers2, Marcel Bermudez2, Manuela S Murgueitio2, Sereina Riniker3, Gerhard Wolber4.   

Abstract

Among all tools available to design new drugs, molecular dynamics (MD) simulations have become an essential technique. Initially developed to investigate molecular models with a limited number of atoms, computers now enable investigations of large macromolecular systems with a simulation time reaching the microsecond range. The reviewed articles cover four years of research to give an overview on the actual impact of MD on the current medicinal chemistry landscape with a particular emphasis on studies of ligand-protein interactions. With a special focus on studies combining computational approaches with data gained from other techniques, this review shows how deeply embedded MD simulations are in drug design strategies and articulates what the future of this technique could be.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25615716     DOI: 10.1016/j.drudis.2015.01.003

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


  40 in total

1.  Dynamics and structural determinants of ligand recognition of the 5-HT6 receptor.

Authors:  Márton Vass; Balázs Jójárt; Ferenc Bogár; Gábor Paragi; György M Keserű; Ákos Tarcsay
Journal:  J Comput Aided Mol Des       Date:  2015-11-16       Impact factor: 3.686

2.  Bacterial flagellar switching: a molecular mechanism directed by the logic of an electric motor.

Authors:  Shyantani Maiti; Pralay Mitra
Journal:  J Mol Model       Date:  2018-09-13       Impact factor: 1.810

3.  Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking.

Authors:  Helen M Deeks; Rebecca K Walters; Stephanie R Hare; Michael B O'Connor; Adrian J Mulholland; David R Glowacki
Journal:  PLoS One       Date:  2020-03-11       Impact factor: 3.240

4.  Exploring the binding properties of agonists interacting with glucocorticoid receptor: an in silico approach.

Authors:  Samith Rathnayake; Samantha Weerasinghe
Journal:  J Mol Model       Date:  2018-11-20       Impact factor: 1.810

5.  VR-SCOSMO: A smooth conductor-like screening model with charge-dependent radii for modeling chemical reactions.

Authors:  Erich R Kuechler; Timothy J Giese; Darrin M York
Journal:  J Chem Phys       Date:  2016-04-28       Impact factor: 3.488

6.  Ligand Binding Ensembles Determine Graded Agonist Efficacies at a G Protein-coupled Receptor.

Authors:  Andreas Bock; Marcel Bermudez; Fabian Krebs; Carlo Matera; Brian Chirinda; Dominique Sydow; Clelia Dallanoce; Ulrike Holzgrabe; Marco De Amici; Martin J Lohse; Gerhard Wolber; Klaus Mohr
Journal:  J Biol Chem       Date:  2016-06-13       Impact factor: 5.157

Review 7.  Overview of the SAMPL5 host-guest challenge: Are we doing better?

Authors:  Jian Yin; Niel M Henriksen; David R Slochower; Michael R Shirts; Michael W Chiu; David L Mobley; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2016-09-22       Impact factor: 3.686

8.  In Silico Prediction of Human Sulfotransferase 1E1 Activity Guided by Pharmacophores from Molecular Dynamics Simulations.

Authors:  Christin Rakers; Fabian Schumacher; Walter Meinl; Hansruedi Glatt; Burkhard Kleuser; Gerhard Wolber
Journal:  J Biol Chem       Date:  2015-11-05       Impact factor: 5.157

9.  Computational Strategy for Bound State Structure Prediction in Structure-Based Virtual Screening: A Case Study of Protein Tyrosine Phosphatase Receptor Type O Inhibitors.

Authors:  Xuben Hou; David Rooklin; Duxiao Yang; Xiao Liang; Kangshuai Li; Jianing Lu; Cheng Wang; Peng Xiao; Yingkai Zhang; Jin-Peng Sun; Hao Fang
Journal:  J Chem Inf Model       Date:  2018-10-19       Impact factor: 4.956

10.  Variational Method for Networkwide Analysis of Relative Ligand Binding Free Energies with Loop Closure and Experimental Constraints.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Theory Comput       Date:  2021-02-02       Impact factor: 6.006

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