33777339 OR Structure-based molecular modeling in SAR analysis and lead optimization
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In silico methods like molecular docking and pharmacophore modeling are established strategies in lead identification. Their successful application for finding new active molecules for a target is reported by a plethora of studies. However, once a potential lead is identified, lead optimization, with the focus on improving potency, selectivity, or pharmacokinetic parameters of a parent compound, is a much more complex task. Even though in silico molecular modeling methods could contribute a lot of time and cost-saving by rationally filtering synthetic optimization options, they are employed less widely in this stage of research. In this review, we highlight studies that have successfully used computer-aided SAR analysis in lead optimization and want to showcase sound methodology and easily accessible in silico tools for this purpose.
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Novel 4-aminoquinazoline-6-carboxamide derivatives bearing differently substituted aryl or heteroaryl groups at position 7 in the core were rationally designed, synthesized and evaluated for biological activity in vitro as phosphatidylinositol 4-kinase IIα (PI4K2A) inhibitors. The straightforward approach described here enabled the sequential, modular synthesis and broad functionalization of the scaffold in a mere six steps. The SAR investigation reported here is based on detailed structural analysis of the conserved binding mode of ATP and other adenine derivatives to the catalytic site of type II PI4Ks, combined with extensive docking studies. Several compounds exhibited significant activity against PI4K2A. Moreover, we solved a crystal structure of PI4K2B in complex with one of our lead ligand candidates, which validated the ligand binding site and pose predicted by our docking-based ligand model. These discoveries suggest that our structure-based approach may be further developed and employed to synthesize new inhibitors with optimized potency and selectivity for this class of PI4Ks.
