Open AccessGeneralized predictive model of estimation of inhibition of muscarinic receptors M1-M5
Author(s) -
A.V. Mikurova,
V. S. Skvortsov,
Vitaliy Grigoryev
Publication year - 2020
Publication title -
biomedical chemistry: research and methods
Language(s) - English
Resource type - Journals
ISSN - 2618-7531
DOI - 10.18097/bmcrm00129
Subject(s) - receptor , muscarinic acetylcholine receptor , homology modeling , pharmacophore , chemistry , mathematics , stereochemistry , biochemistry , enzyme
A general predictive model for assessing the inhibition constant (K i ) value of human acetylcholine muscarinic receptors M1-M5 by potential ligands has been constructed. We used information on the three-dimensional structure of human M1, M2, M4, and M5 receptors, as well as a model of the M3 receptor constructed according to homology based on the structure of the rat M3 receptor. A set of complexes of known inhibitors with the target receptor constructed by means of molecular docking, was selected using an additional option: the coincidence of the spatial position of 4 pharmacophore points of a tested inhibitor and tiotropium, for which the position in the crystal structure was known. For five types of M receptors 199 complexes with known K i values were selected. Based on the data obtained during molecular dynamics simulation of these complexes by means of the MM-PBSA/MM-GBSA methods, their energy characteristics were calculated. They were used as independent variables in linear regression equations for pK i value prediction. The R 2 prediction for the generalized equation was 0.7, and the mean prediction error was 0.55 logarithmic units with a range for pK i =4.7.