Abstract

AbstractIn this article the Hierarchical QSAR technology (HiT QSAR) has been used for consensus QSAR modeling of Acetylcholinesterase (AChE) inhibition by various organophosphate compounds. Simplex representation of molecular structure (SiRMS) and Lattice model (LM) QSAR approaches have been used for descriptors' generation. Statistical models have been obtained by partial least squares (PLS) method. Various chiral organophosphates represented by their (R)‐ and (S)‐isomers, racemic mixtures and achiral structures have been investigated. Successful consensus model (R2=0.978) based on fourteen best QSAR models obtained using different QSAR approaches and training sets for several levels and methods of molecular structure representation (2.5D, double 2.5D, and 3D) has been used for the prediction of AChE inhibition of new compounds. In order to avoid chance correlations 1000 rounds of Y‐scrambling were performed for each selected model. Leverage and ellipsoid Applicability domain (DA) approaches have been used for additional estimation of the quality of prognosis. Molecular fragments enhancing and interfering with inhibitory activity have been determined. It was revealed that atom's individuality and stereochemistry of chiral surroundings of the asymmetric atom of phosphorus play a vital role in AChE inhibition. Thus, (R)‐isomers are always less active than the (S) isomers and the racemate. HiT QSAR proves to be a powerful tool for investigation of activity of stereo selective interactions and can be used in such subsequent studies.

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