[HTML][HTML] 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 …
have seen a tectonic shift towards embracing computational technologies in both academia …
[HTML][HTML] A practical guide to large-scale docking
Abstract Structure-based docking screens of large compound libraries have become
common in early drug and probe discovery. As computer efficiency has improved and …
common in early drug and probe discovery. As computer efficiency has improved and …
ChemCrow: Augmenting large-language models with chemistry tools
Over the last decades, excellent computational chemistry tools have been developed.
Integrating them into a single platform with enhanced accessibility could help reaching their …
Integrating them into a single platform with enhanced accessibility could help reaching their …
AutoDock Vina 1.2. 0: New docking methods, expanded force field, and python bindings
J Eberhardt, D Santos-Martins… - Journal of chemical …, 2021 - ACS Publications
AutoDock Vina is arguably one of the fastest and most widely used open-source programs
for molecular docking. However, compared to other programs in the AutoDock Suite, it lacks …
for molecular docking. However, compared to other programs in the AutoDock Suite, it lacks …
ADMETlab 2.0: an integrated online platform for accurate and comprehensive predictions of ADMET properties
Because undesirable pharmacokinetics and toxicity of candidate compounds are the main
reasons for the failure of drug development, it has been widely recognized that absorption …
reasons for the failure of drug development, it has been widely recognized that absorption …
[HTML][HTML] Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking
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 …
virtual screening approaches are needed. The Deep Docking (DD) platform enables up to …
A review of molecular representation in the age of machine learning
DS Wigh, JM Goodman… - Wiley Interdisciplinary …, 2022 - Wiley Online Library
Research in chemistry increasingly requires interdisciplinary work prompted by, among
other things, advances in computing, machine learning, and artificial intelligence. Everyone …
other things, advances in computing, machine learning, and artificial intelligence. Everyone …
[HTML][HTML] Augmenting large language models with chemistry tools
Large language models (LLMs) have shown strong performance in tasks across domains
but struggle with chemistry-related problems. These models also lack access to external …
but struggle with chemistry-related problems. These models also lack access to external …
Use of molecular docking computational tools in drug discovery
F Stanzione, I Giangreco, JC Cole - Progress in Medicinal Chemistry, 2021 - Elsevier
Molecular docking has become an important component of the drug discovery process.
Since first being developed in the 1980s, advancements in the power of computer hardware …
Since first being developed in the 1980s, advancements in the power of computer hardware …
Structure-based discovery of nonopioid analgesics acting through the α2A-adrenergic receptor
Because nonopioid analgesics are much sought after, we computationally docked more
than 301 million virtual molecules against a validated pain target, the α2A-adrenergic …
than 301 million virtual molecules against a validated pain target, the α2A-adrenergic …