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

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
figure1

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

References

  1. 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.

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Correspondence to Ahmed ElKerdawy.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0), which permits use, duplication, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Keywords

  • Force Field
  • Drug Design
  • Molecular Property
  • Binding Characteristic
  • Informative Approach