Virtual Screening for Transition State Analogue Inhibitors of IRAP Based on Quantum Mechanically Derived Reaction Coordinates
Author(s) -
Fredrik Svensson,
Karin Engen,
Thomas Lundbäck,
Mats Larhed,
Christian Sköld
Publication year - 2015
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/acs.jcim.5b00359
Subject(s) - virtual screening , chemistry , combinatorial chemistry , quantum chemical , transition state , aminopeptidase , drug discovery , active site , enzyme , density functional theory , computer science , computational biology , computational chemistry , molecule , biochemistry , organic chemistry , biology , catalysis , leucine , amino acid
Transition state and high energy intermediate mimetics have the potential to be very potent enzyme inhibitors. In this study, a model of peptide hydrolysis in the active site of insulin-regulated aminopeptidase (IRAP) was developed using density functional theory calculations and the cluster approach. The 3D structure models of the reaction coordinates were used for virtual screening to obtain new chemical starting points for IRAP inhibitors. This mechanism-based virtual screening process managed to identify several known peptidase inhibitors from a library of over 5 million compounds, and biological testing identified one compound not previously reported as an IRAP inhibitor. This novel methodology for virtual screening is a promising approach to identify new inhibitors mimicking key transition states or intermediates of an enzymatic reaction.
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