Literature DB >> 28413955

Drug Discovery and Molecular Dynamics: Methods, Applications and Perspective Beyond the Second Timescale.

Gerard Martínez-Rosell1, Toni Giorgino2, Matt J Harvey3, Gianni de Fabritiis1.   

Abstract

Bio-molecular dynamics (MD) simulations based on graphical processing units (GPUs) were first released to the public in the early 2009 with the code ACEMD. Almost 8 years after, applications now encompass a broad range of molecular studies, while throughput improvements have opened the way to millisecond sampling timescales. Based on an extrapolation of the amount of sampling in published literature, the second timescale will be reached by the year 2022, and therefore we predict that molecular dynamics is going to become one of the main tools in drug discovery in both academia and industry. Here, we review successful applications in the drug discovery domain developed over these recent years of GPU-based MD. We also retrospectively analyse limitations that have been overcome over the years and give a perspective on challenges that remain to be addressed. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Keywords:  ACEMD; Drug discovery; GPU; Molecular dynamics; Perspective; Review; Simulation

Mesh:

Year:  2017        PMID: 28413955     DOI: 10.2174/1568026617666170414142549

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  7 in total

Review 1.  An overview of recent molecular dynamics applications as medicinal chemistry tools for the undruggable site challenge.

Authors:  Ugo Perricone; Maria Rita Gulotta; Jessica Lombino; Barbara Parrino; Stella Cascioferro; Patrizia Diana; Girolamo Cirrincione; Alessandro Padova
Journal:  Medchemcomm       Date:  2018-04-19       Impact factor: 3.597

Review 2.  Molecular dynamics: a powerful tool for studying the medicinal chemistry of ion channel modulators.

Authors:  Daniel Şterbuleac
Journal:  RSC Med Chem       Date:  2021-07-22

3.  Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations.

Authors:  Bruck Taddese; Antoine Garnier; Hervé Abdi; Daniel Henrion; Marie Chabbert
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

4.  Characterization of partially ordered states in the intrinsically disordered N-terminal domain of p53 using millisecond molecular dynamics simulations.

Authors:  Pablo Herrera-Nieto; Adrià Pérez; Gianni De Fabritiis
Journal:  Sci Rep       Date:  2020-07-24       Impact factor: 4.379

Review 5.  How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs.

Authors:  Mariona Torrens-Fontanals; Tomasz Maciej Stepniewski; David Aranda-García; Adrián Morales-Pastor; Brian Medel-Lacruz; Jana Selent
Journal:  Int J Mol Sci       Date:  2020-08-18       Impact factor: 5.923

Review 6.  Role of Computational Methods in Going beyond X-ray Crystallography to Explore Protein Structure and Dynamics.

Authors:  Ashutosh Srivastava; Tetsuro Nagai; Arpita Srivastava; Osamu Miyashita; Florence Tama
Journal:  Int J Mol Sci       Date:  2018-10-30       Impact factor: 5.923

Review 7.  Large-Scale Conformational Changes and Protein Function: Breaking the in silico Barrier.

Authors:  Laura Orellana
Journal:  Front Mol Biosci       Date:  2019-11-05
  7 in total

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