Enabling structure-based drug discovery utilizing predicted models-Reference-Cited by-同舟云学术

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Enabling structure-based drug discovery utilizing predicted models

Published:2024-02 Issue:3 Volume:187 Page:521-525
ISSN:0092-8674
Container-title:Cell
language:en
Short-container-title:Cell

Author:

Miller Edward B.,Hwang Howook,Shelley Mee,Placzek Andrew,Rodrigues João P.G.L.M.,Suto Robert K.,Wang Lingle,Akinsanya Karen,Abel Robert

Publisher

Elsevier BV

Reference15 articles.

1. AlphaFold2 has more to learn about protein energy landscapes;Chakravarty;bioRxiv,2023

2. AlphaFold2-RAVE: From Sequence to Boltzmann Ranking;Vani;J. Chem. Theory Comput.,2023

3. Multi-state modeling of G-protein coupled receptors at experimental accuracy;Heo;Proteins,2022

4. Artificial intelligence in the prediction of protein-ligand interactions: recent advances and future directions;Dhakal;Brief. Bioinform.,2022

5. Recent Developments in Free Energy Calculations for Drug Discovery;King;Front. Mol. Biosci.,2021

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mining Medicinally Relevant Bioreduction Substrates Inspired by Ligand-Based Drug Design;Journal of Medicinal Chemistry;2024-07-25

2. Polypharmacology prediction: the long road toward comprehensively anticipating small-molecule selectivity to de-risk drug discovery;Expert Opinion on Drug Discovery;2024-07-14

3. Metadynamics approach elucidating the free energy landscape and binding modes of vomicine with virulence factor towards anti-mpox drug discovery;Chemical Physics Letters;2024-07

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