Advancing Drug Discovery via Artificial Intelligence.

Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process which typically costs 2.6 billion USD and takes 12 years on average. How to decrease the costs and speed up new drug discovery has become a challenging and urgent question in industry. Artificial intelligence (AI) combined with new experimental technologies is expected to make the hunt for new pharmaceuticals quicker, cheaper, and more effective. We discuss here emerging applications of AI to improve the drug discovery process.

Computational modeling of the olfactory receptor Olfr73 suggests a molecular basis for low potency of olfactory receptor-activating compounds.

The mammalian olfactory system uses hundreds of specialized G-protein-coupled olfactory receptors (ORs) to discriminate a nearly unlimited number of odorants. Cognate agonists of most ORs have not yet been identified and potential non-olfactory processes mediated by ORs are unknown. Here, we used molecular modeling, fingerprint interaction analysis and molecular dynamics simulations to show that the binding pocket of the prototypical olfactory receptor Olfr73 is smaller, but more flexible, than binding pockets of typical non-olfactory G-protein-coupled receptors. We extended our modeling to virtual screening of a library of 1.6 million compounds against Olfr73. Our screen predicted 25 Olfr73 agonists beyond traditional odorants, of which 17 compounds, some with therapeutic potential, were validated in cell-based assays. Our modeling suggests a molecular basis for reduced interaction contacts between an odorant and its OR and thus the typical low potency of OR-activating compounds. These results provide a proof-of-principle for identifying novel therapeutic OR agonists.

New Binding Sites, New Opportunities for GPCR Drug Discovery.

Many central biological events rely on protein-ligand interactions. The identification and characterization of protein-binding sites for ligands are crucial for the understanding of functions of both endogenous ligands and synthetic drug molecules. G protein-coupled receptors (GPCRs) typically detect extracellular signal molecules on the cell surface and transfer these chemical signals across the membrane, inducing downstream cellular responses via G proteins or ß-arrestin. GPCRs mediate many central physiological processes, making them important targets for modern drug discovery. Here, we focus on the most recent breakthroughs in finding new binding sites and binding modes of GPCRs and their potentials for the development of new medicines.

Microfluidic device performing on flow study of serial cell-cell interactions of two cell populations.

In this study we present a novel microfluidic hydrodynamic trapping device to probe the cell-cell interaction between all cell samples of two distinct populations. We have exploited an hydrodynamic trapping method using microfluidics to immobilize a batch of cells from the first population at specific locations, then relied on hydrodynamic filtering principles, the flowing cells from the second cell population are placed in contact with the trapped ones, through a roll-over mechanism. The rolling cells interact with the serially trapped cells one after the other. The proposed microfluidic phenomenon was characterized with beads. We have shown the validity of our method by detecting the capacity of olfactory receptors to induce adhesion of cell doublets overexpressing these receptors. We report here the first controlled on-flow single cell resolution cell-cell interaction assay in a microfluidic device for future application in cell-cell interactions-based cell library screenings.

Recombinant expression and functional characterization of mouse olfactory receptor mOR256-17 in mammalian cells.

Olfactory receptors (ORs) constitute the largest family of sensory membrane proteins in mammals. They play a key role within the olfactory system in recognizing and discriminating a nearly unlimited number of structurally diverse odorous molecules. The molecular basis of OR-mediated signal detection and transduction is poorly understood. This is due to difficulties in functional expression of ORs in high yields, preventing structural and biophysical studies at the level of the receptor protein. Here we report on recombinant expression of mouse receptor mOR256-17 yielding 10(6) ORs per cell in transiently transfected mammalian cells. For quantification and optimization of OR expression, we employed different fluorescent probes. Green fluorescent protein fused to the C-terminus of mOR256-17 allowed quantification of total cellular OR biosynthesis, and post-translational fluorescence labeling of a 12-amino acid polypeptide sequence at the N-terminus permitted the selective visualization and quantification of ORs at the plasma membrane using cell flow cytometry. Our dual-color labeling approach is generally applicable to quantification of membrane proteins for mammalian cell-based expression. By screening a large odorant compound library, we discovered a selective spectrum of potent mOR256-17-specific agonists essential for probing the receptor function for future scaled-up productions.