[HTML][HTML] Alphafold2 in molecular discovery
A Nunes-Alves, K Merz - Journal of Chemical Information and …, 2023 - ACS Publications
Advanced machine learning methods impacted not only the prediction of properties for
small molecules and quantitative structure− activity relationships 1 but also the prediction of …
small molecules and quantitative structure− activity relationships 1 but also the prediction of …
AlphaFold2 and the future of structural biology
P Cramer - Nature structural & molecular biology, 2021 - nature.com
… model for AlphaFold2 are now available for download via GitHub 1 . … of AlphaFold2 and
has already been applied to predict structures of several protein complexes. Like AlphaFold2, …
has already been applied to predict structures of several protein complexes. Like AlphaFold2, …
Benchmarking AlphaFold‐enabled molecular docking predictions for antibiotic discovery
… available from AlphaFold2. Here, we combine AlphaFold2 with molecular docking simulations
… learning‐based approaches, are needed to better harness AlphaFold2 for drug discovery. …
… learning‐based approaches, are needed to better harness AlphaFold2 for drug discovery. …
[HTML][HTML] AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
F Ren, X Ding, M Zheng, M Korzinkin, X Cai, W Zhu… - Chemical …, 2023 - pubs.rsc.org
… applied AlphaFold to our end-to-end AI-powered drug discovery … A novel hit molecule
against a novel target without an … the molecules based on the structure predicted by AlphaFold, …
against a novel target without an … the molecules based on the structure predicted by AlphaFold, …
[HTML][HTML] AlphaFold2 structures template ligand discovery
… AlphaFold2 (AF2) and RosettaFold have greatly expanded the number of structures available
for structure-based ligand discovery, even though retrospective studies have cast doubt on …
for structure-based ligand discovery, even though retrospective studies have cast doubt on …
AlphaFold2 structures guide prospective ligand discovery
AlphaFold2 (AF2) models have had wide impact, but they have had mixed success in
retrospective ligand recognition. We prospectively docked large libraries against unrefined AF2 …
retrospective ligand recognition. We prospectively docked large libraries against unrefined AF2 …
Benchmarking refined and unrefined AlphaFold2 structures for hit discovery
… AlphaFold2 (AF2) algorithm predicts proteins’ 3D structures from amino acid sequences. The
open AlphaFold protein … Using an industry-leading molecular docking method (Glide), we …
open AlphaFold protein … Using an industry-leading molecular docking method (Glide), we …
AlphaFold2 versus experimental structures: evaluation on G protein-coupled receptors
… Recently, AlphaFold2 has been developed to predict structure models of many functionally
… structure models predicted by AlphaFold2. We revealed that AlphaFold2 could capture the …
… structure models predicted by AlphaFold2. We revealed that AlphaFold2 could capture the …
[HTML][HTML] AlphaFold-Predicted structures of KCTD proteins unravel previously undetected relationships among the members of the family
… It should be noted that the latest version of AlphaFold (… here may be biased by the AlphaFold2
protocol. In order to … server that uses the AlphaFold approach without employing any …
protocol. In order to … server that uses the AlphaFold approach without employing any …
[HTML][HTML] AlphaFold2 and its applications in the fields of biology and medicine
Z Yang, X Zeng, Y Zhao, R Chen - Signal Transduction and Targeted …, 2023 - nature.com
AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind that can
predict three-dimensional (3D) structures of proteins from amino acid sequences with atomic-…
predict three-dimensional (3D) structures of proteins from amino acid sequences with atomic-…