Literature DB >> 23827463

Modelling and enhanced molecular dynamics to steer structure-based drug discovery.

Subha Kalyaanamoorthy1, Yi-Ping Phoebe Chen2.   

Abstract

The ever-increasing gap between the availabilities of the genome sequences and the crystal structures of proteins remains one of the significant challenges to the modern drug discovery efforts. The knowledge of structure-dynamics-functionalities of proteins is important in order to understand several key aspects of structure-based drug discovery, such as drug-protein interactions, drug binding and unbinding mechanisms and protein-protein interactions. This review presents a brief overview on the different state of the art computational approaches that are applied for protein structure modelling and molecular dynamics simulations of biological systems. We give an essence of how different enhanced sampling molecular dynamics approaches, together with regular molecular dynamics methods, assist in steering the structure based drug discovery processes.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords:  Enhanced sampling molecular dynamics; Modelling; Molecular dynamics; Structure based drug discovery

Mesh:

Substances:

Year:  2013        PMID: 23827463     DOI: 10.1016/j.pbiomolbio.2013.06.004

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  10 in total

1.  HTMoL: full-stack solution for remote access, visualization, and analysis of molecular dynamics trajectory data.

Authors:  Mauricio Carrillo-Tripp; Leonardo Alvarez-Rivera; Omar Israel Lara-Ramírez; Francisco Javier Becerra-Toledo; Adan Vega-Ramírez; Emmanuel Quijas-Valades; Eduardo González-Zavala; Julio Cesar González-Vázquez; Javier García-Vieyra; Nelly Beatriz Santoyo-Rivera; Sergio Victor Chapa-Vergara; Amilcar Meneses-Viveros
Journal:  J Comput Aided Mol Des       Date:  2018-08-06       Impact factor: 3.686

2.  Determinants of Oligonucleotide Selectivity of APOBEC3B.

Authors:  Jeffrey R Wagner; Özlem Demir; Michael A Carpenter; Hideki Aihara; Daniel A Harki; Reuben S Harris; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2018-09-10       Impact factor: 4.956

Review 3.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

4.  Modeling the human Nav1.5 sodium channel: structural and mechanistic insights of ion permeation and drug blockade.

Authors:  Marawan Ahmed; Horia Jalily Hasani; Aravindhan Ganesan; Michael Houghton; Khaled Barakat
Journal:  Drug Des Devel Ther       Date:  2017-08-04       Impact factor: 4.162

5.  Effects of protein-protein interactions and ligand binding on the ion permeation in KCNQ1 potassium channel.

Authors:  Horia Jalily Hasani; Aravindhan Ganesan; Marawan Ahmed; Khaled H Barakat
Journal:  PLoS One       Date:  2018-02-14       Impact factor: 3.240

6.  Reversibly Sampling Conformations and Binding Modes Using Molecular Darting.

Authors:  Samuel C Gill; David L Mobley
Journal:  J Chem Theory Comput       Date:  2020-12-08       Impact factor: 6.006

Review 7.  Chalcone Derivatives: Promising Starting Points for Drug Design.

Authors:  Marcelo N Gomes; Eugene N Muratov; Maristela Pereira; Josana C Peixoto; Lucimar P Rosseto; Pedro V L Cravo; Carolina H Andrade; Bruno J Neves
Journal:  Molecules       Date:  2017-07-25       Impact factor: 4.411

8.  The study of degradation mechanisms of glyco-engineered plant produced anti-rabies monoclonal antibodies E559 and 62-71-3.

Authors:  Sindisiwe G Buthelezi; Heini W Dirr; Ereck Chakauya; Rachel Chikwamba; Lennart Martens; Tsepo L Tsekoa; Elien Vandermarliere; Stoyan H Stoychev
Journal:  PLoS One       Date:  2018-12-20       Impact factor: 3.240

9.  How peptide/MHC presence affects the dynamics of the LC13 T-cell receptor.

Authors:  Jose Luis Dominguez; Bernhard Knapp
Journal:  Sci Rep       Date:  2019-02-25       Impact factor: 4.379

10.  Multibody cofactor and substrate molecular recognition in the myo-inositol monophosphatase enzyme.

Authors:  Noelia Ferruz; Gary Tresadern; Antonio Pineda-Lucena; Gianni De Fabritiis
Journal:  Sci Rep       Date:  2016-07-21       Impact factor: 4.379

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.