Structure-based virtual screening reveals multiple novel TRPV5 inhibitors that bind and exert their effect from previously unidentified binding sites as characterized by cryo-electron microscopy and electrophysiology.

Large scale virtual screening using recently solved structures of Melatonin receptors yield discovery of 10 new high-affinity selective agonists, also revealing novel functional features, including biased signaling at Melatonin receptors.

An example of a deep learning-based strategy to discover novel protein-protein interactions and predict their complex structures at high accuracy.

A computational method identifies the functions of orphan enzymes by organizing them into metabolic pathways; the prediction of a new l-gulonate catabolic pathway is experimentally tested and confirmed.

A mouse virtual reality system is presented which allows normal spatial behavior and place, grid and head-direction cell firing patterns in 2-D arenas, and is compatible with electrophysiology and multi-photon imaging.

Landmark cues preclude complex and flexible spatial navigation in human development and aging.

The occupation of a sub-pocket near the Na⁺-binding site in D₂R by the Na⁺-insensitive antagonists is the structural basis for their greater inverse agonism than that of the Na⁺-sensitive ligands.

Preimplantation screening of embryos using polygenic risk scores may substantially reduce risk for a given complex disease, but this effect depends on several quantifiable factors and raises significant ethical issues.

Structure-based approach identifies a K_ATP-binding compound that has the potential of normalizing insulin secretion in congenital hyperinsulinism by correcting defective K_ATP channel trafficking to the cell surface.