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SQM/COSMO Scoring Function: Reliable Quantum‐Mechanical Tool for Sampling and Ranking in Structure‐Based Drug Design

SQM/COSMO Scoring Function: Reliable Quantum‐Mechanical Tool for Sampling and Ranking in... Quantum mechanical (QM) methods have been gaining importance in structure‐based drug design where a reliable description of protein‐ligand interactions is of utmost significance. However, strategies i. e. QM/MM, fragmentation or semiempirical (SQM) methods had to be pursued to overcome the unfavorable scaling of QM methods. Various SQM‐based approaches have significantly contributed to the accuracy of docking and improvement of lead compounds. Parametrizations of SQM and implicit solvent methods in our laboratory have been instrumental to obtain a reliable SQM‐based scoring function. The experience gained in its application for activity ranking of ligands binding to tens of protein targets resulted in setting up a faster SQM/COSMO scoring approach, which outperforms standard scoring methods in native pose identification for two dozen protein targets with ten thousand poses. Recently, SQM/COSMO was effectively applied in a proof‐of‐concept study of enrichment in virtual screening. Due to its superior performance, feasibility and chemical generality, we propose the SQM/COSMO approach as an efficient tool in structure‐based drug design. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ChemPlusChem Wiley

SQM/COSMO Scoring Function: Reliable Quantum‐Mechanical Tool for Sampling and Ranking in Structure‐Based Drug Design

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References (195)

Publisher
Wiley
Copyright
© 2020 Wiley‐VCH GmbH
eISSN
2192-6506
DOI
10.1002/cplu.202000120
Publisher site
See Article on Publisher Site

Abstract

Quantum mechanical (QM) methods have been gaining importance in structure‐based drug design where a reliable description of protein‐ligand interactions is of utmost significance. However, strategies i. e. QM/MM, fragmentation or semiempirical (SQM) methods had to be pursued to overcome the unfavorable scaling of QM methods. Various SQM‐based approaches have significantly contributed to the accuracy of docking and improvement of lead compounds. Parametrizations of SQM and implicit solvent methods in our laboratory have been instrumental to obtain a reliable SQM‐based scoring function. The experience gained in its application for activity ranking of ligands binding to tens of protein targets resulted in setting up a faster SQM/COSMO scoring approach, which outperforms standard scoring methods in native pose identification for two dozen protein targets with ten thousand poses. Recently, SQM/COSMO was effectively applied in a proof‐of‐concept study of enrichment in virtual screening. Due to its superior performance, feasibility and chemical generality, we propose the SQM/COSMO approach as an efficient tool in structure‐based drug design.

Journal

ChemPlusChemWiley

Published: Nov 1, 2020

Keywords: ; ; ; ;

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