Impact of Applicability Domains to Generative Artificial Intelligence-Reference-Cited by-同舟云学术

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Impact of Applicability Domains to Generative Artificial Intelligence

Published:2023-06-12 Issue:25 Volume:8 Page:23148-23167
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Langevin Maxime¹²^ORCID,Grebner Christoph³,Güssregen Stefan³^ORCID,Sauer Susanne³,Li Yi⁴,Matter Hans³^ORCID,Bianciotto Marc²^ORCID

Affiliation:

1. PASTEUR, Département de Chimie, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, 75005 Paris, France

2. Molecular Design Sciences−Integrated Drug Discovery, R&D, Sanofi, 94400 Vitry-sur-Seine, France

3. Molecular Design Sciences−Integrated Drug Discovery, R&D, Sanofi, 65929 Frankfurt-am-Main, Germany

4. Molecular Design Sciences−Integrated Drug Discovery, R&D, Sanofi, Waltham, Massachusetts 02451, United States

Funder

Association Nationale de la Recherche et de la Technologie

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c00883

Reference63 articles.

1. Rethinking drug design in the artificial intelligence era

2. Molecular de-novo design through deep reinforcement learning

3. Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks

4. GuacaMol: Benchmarking Models for de Novo Molecular Design

5. Prediction of Physicochemical Parameters by Atomic Contributions

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1. Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses;JMIR AI;2024-08-02

2. Best practices for machine learning in antibody discovery and development;Drug Discovery Today;2024-07

3. Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses (Preprint);2023-11-11

4. G4-QuadScreen: A Computational Tool for Identifying Multi-Target-Directed Anticancer Leads against G-Quadruplex DNA;Cancers;2023-07-27

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