Computational approaches streamlining drug discovery

AV Sadybekov, V Katritch - Nature, 2023 - nature.com
Computer-aided drug discovery has been around for decades, although the past few years
have seen a tectonic shift towards embracing computational technologies in both academia …

The neural basis of psychedelic action

AC Kwan, DE Olson, KH Preller, BL Roth - Nature Neuroscience, 2022 - nature.com
Psychedelics are serotonin 2A receptor agonists that can lead to profound changes in
perception, cognition and mood. In this review, we focus on the basic neurobiology …

Rings in clinical trials and drugs: present and future

J Shearer, JL Castro, ADG Lawson… - Journal of medicinal …, 2022 - ACS Publications
We present a comprehensive analysis of all ring systems (both heterocyclic and
nonheterocyclic) in clinical trial compounds and FDA-approved drugs. We show 67% of …

Bespoke library docking for 5-HT2A receptor agonists with antidepressant activity

AL Kaplan, DN Confair, K Kim, X Barros-Álvarez… - Nature, 2022 - nature.com
There is considerable interest in screening ultralarge chemical libraries for ligand discovery,
both empirically and computationally,,–. Efforts have focused on readily synthesizable …

Benchmarking AlphaFold‐enabled molecular docking predictions for antibiotic discovery

F Wong, A Krishnan, EJ Zheng, H Stärk… - Molecular systems …, 2022 - embopress.org
Efficient identification of drug mechanisms of action remains a challenge. Computational
docking approaches have been widely used to predict drug binding targets; yet, such …

A practical guide to large-scale docking

BJ Bender, S Gahbauer, A Luttens, J Lyu, CM Webb… - Nature protocols, 2021 - nature.com
Abstract Structure-based docking screens of large compound libraries have become
common in early drug and probe discovery. As computer efficiency has improved and …

Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking

F Gentile, JC Yaacoub, J Gleave, M Fernandez… - Nature …, 2022 - nature.com
With the recent explosion of chemical libraries beyond a billion molecules, more efficient
virtual screening approaches are needed. The Deep Docking (DD) platform enables up to …

The promises and perils of psychedelic pharmacology for psychiatry

TD McClure-Begley, BL Roth - Nature Reviews Drug Discovery, 2022 - nature.com
Psychedelic drugs including psilocybin, N, N ʹ-dimethyltryptamine (DMT) and lysergic acid
diethylamide (LSD) are undergoing a renaissance as potentially useful drugs for various …

Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR

A Tropsha, O Isayev, A Varnek, G Schneider… - Nature Reviews Drug …, 2024 - nature.com
Quantitative structure–activity relationship (QSAR) modelling, an approach that was
introduced 60 years ago, is widely used in computer-aided drug design. In recent years …

ZINC20—a free ultralarge-scale chemical database for ligand discovery

JJ Irwin, KG Tang, J Young… - Journal of chemical …, 2020 - ACS Publications
Identifying and purchasing new small molecules to test in biological assays are enabling for
ligand discovery, but as purchasable chemical space continues to grow into the tens of …