Artificial Intelligence Deconstructs Drug Targeting In Vivo by Leveraging a Transformer Platform-Reference-Cited by-同舟云学术

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Artificial Intelligence Deconstructs Drug Targeting In Vivo by Leveraging a Transformer Platform

Published:2021-06-07 Issue:7 Volume:12 Page:1052-1055
ISSN:1948-5875
Container-title:ACS Medicinal Chemistry Letters
language:en
Short-container-title:ACS Med. Chem. Lett.

Author:

Fernández Ariel¹²^ORCID

Affiliation:

1. Daruma Institute for AI in Pharmaceutical Research, AF Innovation Pharma Consultancy, GmbH, 4000 Pemberton Court, Winston-Salem, North Carolina 27106, United States

2. CONICET/INQUISUR, National Research Council for Science and Technology, Buenos Aires 1033, Argentina

Funder

Eli Lilly and Company

Publisher

American Chemical Society (ACS)

Subject

Organic Chemistry,Drug Discovery,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsmedchemlett.1c00237

Reference12 articles.

1. Binding-induced folding under unfolding conditions: Switching between induced fit and conformational selection mechanisms

2. Taming the induced folding of drug-targeted kinases

3. Modeling protein folding in vivo

4. Transformers: State-of-the-Art Natural Language Processing

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. Exploring the Conformational Ensembles of Protein–Protein Complex with Transformer-Based Generative Model;Journal of Chemical Theory and Computation;2024-05-30

2. Exploring the conformational ensembles of protein-protein complex with transformer-based generative model;2024-02-26

3. Drug Discovery;Computational Biology;2023

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