Literature DB >> 16729734

Quantum mechanics in structure-based drug design.

Martin B Peters1, Kaushik Raha, Kenneth M Merz.   

Abstract

In principle, quantum mechanics provides a more accurate representation of molecular systems than other modeling approaches. While this notion is not a matter of dispute, it has not yet been definitively demonstrated within the realm of structure-based drug design that the use of quantum mechanical methods over the use of classical modeling approaches is justified in consideration of the increase in expense associated with quantum mechanical methods. Demonstrating that quantum mechanics-based methods can be superior to simpler models, and resolving problems relating to estimating the effects of conformational entropy, will provide key areas of interest in the coming years for in silico structure-based drug design. Recent applications using quantum mechanical methods in structure-based drug design are reviewed herein, and applications ranging from scoring receptor-ligand interactions using quantum mechanics to the generation of quantitative structure-activity relationships using quantum mechanics-derived descriptors are discussed.

Mesh:

Year:  2006        PMID: 16729734

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  17 in total

1.  Computational alanine scanning with linear scaling semiempirical quantum mechanical methods.

Authors:  David J Diller; Christine Humblet; Xiaohua Zhang; Lance M Westerhoff
Journal:  Proteins       Date:  2010-08-01

2.  Further analysis and comparative study of intermolecular interactions using dimers from the S22 database.

Authors:  Laszlo Fusti Molnar; Xiao He; Bing Wang; Kenneth M Merz
Journal:  J Chem Phys       Date:  2009-08-14       Impact factor: 3.488

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

Review 4.  Semiempirical Quantum Mechanical Methods for Noncovalent Interactions for Chemical and Biochemical Applications.

Authors:  Anders S Christensen; Tomáš Kubař; Qiang Cui; Marcus Elstner
Journal:  Chem Rev       Date:  2016-04-13       Impact factor: 60.622

Review 5.  Software and resources for computational medicinal chemistry.

Authors:  Chenzhong Liao; Markus Sitzmann; Angelo Pugliese; Marc C Nicklaus
Journal:  Future Med Chem       Date:  2011-06       Impact factor: 3.808

6.  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

7.  Formal Estimation of Errors in Computed Absolute Interaction Energies of Protein-ligand Complexes.

Authors:  John C Faver; Mark L Benson; Xiao He; Benjamin P Roberts; Bing Wang; Michael S Marshall; Matthew R Kennedy; C David Sherrill; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2011-03-08       Impact factor: 6.006

8.  A Mixed QM/MM Scoring Function to Predict Protein-Ligand Binding Affinity.

Authors:  Seth A Hayik; Roland Dunbrack; Kenneth M Merz
Journal:  J Chem Theory Comput       Date:  2010-09-01       Impact factor: 6.006

9.  Molecular dynamics simulation and density functional theory studies on the active pocket for the binding of paclitaxel to tubulin.

Authors:  Sichuan Xu; Shaoming Chi; Yi Jin; Qiang Shi; Maofa Ge; Shu Wang; Xingkang Zhang
Journal:  J Mol Model       Date:  2011-05-03       Impact factor: 1.810

10.  Modeling Protein-Ligand Binding by Mining Minima.

Authors:  Wei Chen; Michael K Gilson; Simon P Webb; Michael J Potter
Journal:  J Chem Theory Comput       Date:  2010-10-08       Impact factor: 6.006

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