Transforming drug discovery with a high-throughput AI-powered platform: A 5-year experience with Patrimony-Reference-Cited by-同舟云学术

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Transforming drug discovery with a high-throughput AI-powered platform: A 5-year experience with Patrimony

Published:2023-11 Issue:11 Volume:28 Page:103772
ISSN:1359-6446
Container-title:Drug Discovery Today
language:en
Short-container-title:Drug Discovery Today

Author:

Blaudin de Thé François-Xavier,Baudier Claire,Andrade Pereira Renan,Lefebvre Céline,Moingeon Philippe^ORCID

Funder

Institut Servier

Servier

Publisher

Elsevier BV

Subject

Drug Discovery,Pharmacology

Reference56 articles.

1. Deep learning in drug discovery: opportunities, challenges and future prospects;Lavecchia;Drug Discov Today,2019

2. AI-based language models powering drug discovery and development;Liu;Drug Discov Today,2021

3. Applications of machine learning in drug discovery and development;Vamathevan;Nat Rev Drug Discov,2019

4. Artificial intelligence-enhanced drug design and development: toward a computational precision medicine;Moingeon;Drug Discov Today,2022

5. A deep learning approach to antibiotic discovery;Stokes;Cell,2020

Cited by 2 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. L’intelligence artificielle, une révolution dans le développement des médicaments;médecine/sciences;2024-04

2. Artificial Intelligence: A Major Landmark in the Novel Drug Discovery Pathway for the Remarkable Advancement in the Healthcare System;Interdisciplinary Biotechnological Advances;2024

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