Literature DB >> 19929827

QM/MM approaches in medicinal chemistry research.

Lochana C Menikarachchi1, José A Gascón.   

Abstract

One of the goals of medicinal chemistry concerns the ability to compute protein-ligand interactions based on the structural knowledge of the receptor. To this end, the majority of current approaches incorporate classical force field potentials to describe receptor-ligand interactions. One of the most critical problems of standard molecular mechanics (MM) force fields is their fixed-charge treatment of electrostatic interactions. Two problems are derived from this approximation, polarization and charge transfer. As an immediate step in computational complexity, it seems natural to incorporate Quantum Mechanics (QM) within a hybrid QM/MM approach, which has shown to be a useful tool to describe structural and mechanistic aspects of chromophores and prosthetic residues in proteins. In this review, we describe specifically the role of QM/MM methods and their various applications to computational drug design and medicinal chemistry research in general.

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Year:  2010        PMID: 19929827     DOI: 10.2174/156802610790232297

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


  17 in total

1.  Correlation between biological activity and binding energy in systems of integrin with cyclic RGD-containing binders: a QM/MM molecular dynamics study.

Authors:  Mingli Xiang; Yuchun Lin; Gu He; Lijuan Chen; Mingli Yang; Shengyong Yang; Yirong Mo
Journal:  J Mol Model       Date:  2012-06-27       Impact factor: 1.810

2.  A QM/MM study of the binding of RAPTA ligands to cathepsin B.

Authors:  Antonella Ciancetta; Samuel Genheden; Ulf Ryde
Journal:  J Comput Aided Mol Des       Date:  2011-06-24       Impact factor: 3.686

3.  Transferable scoring function based on semiempirical quantum mechanical PM6-DH2 method: CDK2 with 15 structurally diverse inhibitors.

Authors:  Petr Dobeš; Jindřich Fanfrlík; Jan Rezáč; Michal Otyepka; Pavel Hobza
Journal:  J Comput Aided Mol Des       Date:  2011-02-01       Impact factor: 3.686

4.  The use of docking-based comparative intermolecular contacts analysis to identify optimal docking conditions within glucokinase and to discover of new GK activators.

Authors:  Mutasem O Taha; Maha Habash; Mohammad A Khanfar
Journal:  J Comput Aided Mol Des       Date:  2014-03-08       Impact factor: 3.686

5.  How accurate is the description of ligand-protein interactions by a hybrid QM/MM approach?

Authors:  Jakub Kollar; Vladimir Frecer
Journal:  J Mol Model       Date:  2017-12-12       Impact factor: 1.810

6.  Computational analysis of aspartic protease plasmepsin II complexed with EH58 inhibitor: a QM/MM MD study.

Authors:  Natália de Farias Silva; Jerônimo Lameira; Cláudio Nahum Alves
Journal:  J Mol Model       Date:  2011-01-25       Impact factor: 1.810

7.  Reaction Pathway and Free Energy Profile for Cocaine Hydrolase-Catalyzed Hydrolysis of (-)-Cocaine.

Authors:  Junjun Liu; Chang-Guo Zhan
Journal:  J Chem Theory Comput       Date:  2012-03-06       Impact factor: 6.006

Review 8.  Thermodynamics and Kinetics of Drug-Target Binding by Molecular Simulation.

Authors:  Sergio Decherchi; Andrea Cavalli
Journal:  Chem Rev       Date:  2020-10-02       Impact factor: 60.622

9.  Molecular recognition of thiaclopride by Aplysia californica AChBP: new insights from a computational investigation.

Authors:  Zakaria Alamiddine; Balaji Selvam; José P Cerón-Carrasco; Monique Mathé-Allainmat; Jacques Lebreton; Steeve H Thany; Adèle D Laurent; Jérôme Graton; Jean-Yves Le Questel
Journal:  J Comput Aided Mol Des       Date:  2015-11-20       Impact factor: 3.686

10.  Inhibitor discovery of full-length New Delhi metallo-β-lactamase-1 (NDM-1).

Authors:  Bingzheng Shen; Yan Yu; Hui Chen; Xin Cao; Xingzhen Lao; Yongliang Fang; Yun Shi; Jiao Chen; Heng Zheng
Journal:  PLoS One       Date:  2013-05-13       Impact factor: 3.240

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