Volume 6 Supplement 1

9th German Conference on Chemoinformatics

Open Access

Quantum-mechanics-based molecular interaction fields for 3D-QSAR

  • Ahmed ElKerdawy1Email author,
  • Stefan Güssregen2,
  • Hans Matter2,
  • Matthias Hennemann1, 3 and
  • Timothy Clark1, 3, 4
Journal of Cheminformatics20146(Suppl 1):O10

DOI: 10.1186/1758-2946-6-S1-O10

Published: 11 March 2014

Computer-aided drug design (CADD) shift toward using quantum-mechanics (QM)-based approaches is not only the result of the ever growing computational power but also due to the need for more accurate and more informative approaches to describe molecular properties and binding characteristics than the currently available ones. QM-approaches do not suffer from the limitations inherent to the ball-and-spring description and the fixed atom-centered charge approximation in the classical force fields mostly used by CADD methods.[1] We introduce a protocol for shifting 3D-QSAR, one of the most widely used ligand-based drug design approaches, through using QM-based molecular interaction fields (MIFs) which are the electron density (ρ), hydrogen bond donor field (HDF), hydrogen bond acceptor field (HAF) and molecular lipophilicity potential (MLP) to overcome the limitations of the current force-field-based MIFs (FF-MIFs). The average performance of the QM-MIFs (QMFA) models for nine data sets was found to be better than that of the conventional FF-MIFs models. In the individual data sets, the QMFA models always perform better than, or as well as, the conventional approaches. It is particularly encouraging that the relative performance of the QMFA models improves in the external validation (Figure 1).
Figure 1

Performance of the different 3D-QSAR approaches in the external validation.

Authors’ Affiliations

(1)
Computer-Chemie-Centrum, Friedrich-Alexander-Universität Erlangen-Nürnberg
(2)
Sanofi-Aventis Deutschland GmbH,R&D, LGCR, Structure, Design and Informatics
(3)
Interdisciplinary Center for Molecular Materials, Friedrich-Alexander-Universität Erlangen-Nürnberg
(4)
Centre for Molecular Design, University of Portsmouth

References

  1. Zhou T, Huang DZ, Caflisch A: Quantum Mechanical Methods for Drug Design. Curr Top Med Chem. 2010, 10 (1): 33-45. 10.2174/156802610790232242.View ArticleGoogle Scholar

Copyright

© ElKerdawy et al; licensee Chemistry Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.