High-throughput virtual screening using quantum mechanical probes: Discovery of selective kinase inhibitors

TitleHigh-throughput virtual screening using quantum mechanical probes: Discovery of selective kinase inhibitors
Publication TypeJournal Article
Year of Publication2010
AuthorsZhou T., Caflisch A.
JournalChemMedChem
Volume5
Issue7
Pagination1007-1014
Date Published2010 Jul 5
Type of ArticleResearch Article
ISSN1860-7187
KeywordsBinding Sites, Computer Simulation, Drug Design, High-Throughput Screening Assays, Humans, Protein Kinase Inhibitors, Quantum Theory, Receptor, EphB4, Small Molecule Libraries, Structure-Activity Relationship, Thermodynamics
Abstract

A procedure based on semi-empirical quantum mechanical (QM) calculations of interaction energy is proposed for the rapid screening of compound poses generated by high-throughput docking. Small molecules (consisting of 2-10 atoms and termed "probes") are overlapped with polar groups in the binding site of the protein target. The interaction energy values between each compound pose and the probes, calculated by a semi-empirical Hamiltonian, are used as filters. The QM probe method does not require fixed partial charges and takes into account polarization and charge-transfer effects which are not captured by conventional force fields. The procedure is applied to screen approximately 100 million poses (of 2.7 million commercially available compounds) obtained by high-throughput docking in the ATP binding site of the tyrosine kinase erythropoietin-producing human hepatocellular carcinoma receptor B4 (EphB4). Three QM probes on the hinge region and one at the entrance pocket are employed to select for binding affinity, while a QM probe on the side chain of the so-called gatekeeper residue (a hypervariable residue in the kinome) is used to enforce selectivity. The poses with favorable interactions with the five QM probes are filtered further for hydrophobic matching and low ligand strain. In this way, a single-digit micromolar inhibitor of EphB4 with a relatively good selectivity profile is identified in a multimillion-compound library upon experimental tests of only 23 molecules.

DOI10.1002/cmdc.201000085
pubindex

0133

Alternate JournalChemMedChem
PubMed ID20540063
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