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John J. Irwin

3 papers in the library · 242 citations · publishing 2022-2024

Papers

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AlphaFold2 structures guide prospective ligand discovery

Science May 16, 2024 Jiankun Lyu, Nicholas J. Kapolka, Ryan H. Gumpper et al. 145 citations

AlphaFold2 (AF2) models have had wide impact but mixed success in retrospective ligand recognition. We prospectively docked large libraries against unrefined AF2 models of the σ 2 and serotonin 2A (5-HT2A) receptors, testing hundreds of new molecules and comparing results with those obtained from docking against the experimental structures. Hit rates were high and similar for the experimental...

DOI: 10.1126/science.adn6354 (opens in new tab) Full text (opens in new tab) Docking animal Computational biology Affinities Stereochemistry +5

Structure-based discovery of conformationally selective inhibitors of the serotonin transporter.

Cell May 11, 2023 Isha Singh, Anubha Seth, Christian B. Billesbølle et al. 97 citations

The serotonin transporter (SERT) removes synaptic serotonin and is the target of anti-depressant drugs. SERT adopts three conformations: outward-open, occluded, and inward-open. All known inhibitors target the outward-open state except ibogaine, which has unusual anti-depressant and substance-withdrawal effects, and stabilizes the inward-open conformation. Unfortunately, ibogaine's promiscuity...

Bespoke library docking for 5-HT2A receptor agonists with anti-depressant activity

Nature September 28, 2022 Anat Levit Kaplan, Danielle N. Confair, Kuglae Kim et al.

There is considerable interest in screening ultralarge chemical libraries for ligand discovery, both empirically and computationally 1 – 4 . Efforts have focused on readily synthesizable molecules, inevitably leaving many chemotypes unexplored. Here we investigate structure-based docking of a bespoke virtual library of tetrahydropyridines—a scaffold that is poorly sampled by a general...