Mind the Gap-Deciphering GPCR Pharmacology Using 3D Pharmacophores and Artificial Intelligence.

G protein-coupled receptors (GPCRs) are amongst the most pharmaceutically relevant and well-studied protein targets, yet unanswered questions in the field leave significant gaps in our understanding of their nuanced structure and function. Three-dimensional pharmacophore models are powerful computational tools in in silico drug discovery, presenting myriad opportunities for the integration of GPCR structural biology and cheminformatics. This review highlights success stories in the application of 3D pharmacophore modeling to de novo drug design, the discovery of biased and allosteric ligands, scaffold hopping, QSAR analysis, hit-to-lead optimization, GPCR de-orphanization, mechanistic understanding of GPCR pharmacology and the elucidation of ligand-receptor interactions. Furthermore, advances in the incorporation of dynamics and machine learning are highlighted. The review will analyze challenges in the field of GPCR drug discovery, detailing how 3D pharmacophore modeling can be used to address them. Finally, we will present opportunities afforded by 3D pharmacophore modeling in the advancement of our understanding and targeting of GPCRs.

Focusing on C-4 position of Hantzsch 1,4-dihydropyridines: Molecular modifications, enantioseparation, and binding mechanism to L- and T-type calcium channels.

1,4-Dihydropyridines (DHPs) represent the blockbuster class of L-type calcium channel blockers that have tremendous therapeutic value against cardiovascular conditions. Due to their abilities to additionally target other subtypes of calcium channels, DHPs are also considered promising molecules for the treatment of neurological and psychiatric disorders. Having been in the market for more than forty years, DHP is one of the most modified scaffolds for the development of novel molecules acting on calcium channels. Taking the chemical structures of approved DHPs into account, it is noteworthy that C-4 position is the least modified part of the ring system. Therefore, in the present study, we focused on this location and carried out various molecular modifications to obtain twelve potential calcium channel blockers with a DHP-based hexahydroquinoline scaffold (DA1-DA12). The whole-cell patch clamp technique applied to analyze the blocking ability of the synthesized compounds on both L- (Cav1.2) and T- (Cav3.2) type calcium channels revealed five blockers with different selectivity profiles. Introducing naphthyl moiety onto the C-4 position of the main scaffold led to the identification of a selective blocker of Cav1.2 (DA8). The benzodioxole-substituted derivative (DA1) was the most potent and selective Cav3.2 inhibitor, therefore, its enantiomers were separated using HPLC on a chiral stationary phase. Retesting single isomers on Cav3.2 revealed that S-enantiomer was mainly responsible for the block. Finally, DA compounds were docked into two generated homology models of L- and T-type calcium channels. Molecular dynamics (MD) simulations and 3D pharmacophore modeling provided further insights into the detailed binding mechanism of DHPs to Cav1.2 as well as to Cav3.2.

Biased Ligands Differentially Shape the Conformation of the Extracellular Loop Region in 5-HT2B Receptors.

G protein-coupled receptors are linked to various intracellular transducers, each pathway associated with different physiological effects. Biased ligands, capable of activating one pathway over another, are gaining attention for their therapeutic potential, as they could selectively activate beneficial pathways whilst avoiding those responsible for adverse effects. We performed molecular dynamics simulations with known ß-arrestin-biased ligands like lysergic acid diethylamide and ergotamine in complex with the 5-HT2B receptor and discovered that the extent of ligand bias is directly connected with the degree of closure of the extracellular loop region. Given a loose allosteric coupling of extracellular and intracellular receptor regions, we delineate a concept for biased signaling at serotonin receptors, by which conformational interference with binding pocket closure restricts the signaling repertoire of the receptor. Molecular docking studies of biased ligands gathered from the BiasDB demonstrate that larger ligands only show plausible docking poses in the ergotamine-bound structure, highlighting the conformational constraints associated with bias. This emphasizes the importance of selecting the appropriate receptor conformation on which to base virtual screening workflows in structure-based drug design of biased ligands. As this mechanism of ligand bias has also been observed for muscarinic receptors, our studies provide a general mechanism of signaling bias transferable between aminergic receptors.