Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2022 Aug 15;35(8):1289-1290.
doi: 10.1021/acs.chemrestox.2c00196.

Artificial Intelligence Meets Toxicology

Igor V Tetko  1   2 , Günter Klambauer  3 , Djork-Arné Clevert  4 , Imran Shah  5 , Emilio Benfenati  6
Affiliations
Editorial

Artificial Intelligence Meets Toxicology

Igor V Tetko et al. Chem Res Toxicol. .
No abstract available

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
The use of AI to analyze in vitro data can contribute more predictive models and decrease the number of animals for in vivo experimental studies.
See this image and copyright information in PMC

References

    1. Chen H; Engkvist O; Wang Y; Olivecrona M; Blaschke T The Rise of Deep Learning in Drug Discovery. Drug Discovery Today 2018, 23 (6), 1241–1250. - PubMed
    1. Karpov P; Godin G; Tetko IV Transformer-CNN: Swiss Knife for QSAR Modeling and Interpretation. J. Cheminformatics 2020, 12 (1), 17. - PMC - PubMed
    1. Clevert D-A; Le T; Winter R; Montanari F Img2Mol − Accurate SMILES Recognition from Molecular Graphical Depictions. Chem. Sci 2021, 12 (42), 14174–14181. - PMC - PubMed
    1. Cho M; Ha J; Park C; Park S Combinatorial Feature Embedding Based on CNN and LSTM for Biomedical Named Entity Recognition. J. Biomed. Inform 2020, 103, 103381. - PubMed
    1. Kleinstreuer NC; Tetko IV; Tong W Introduction to Special Issue: Computational Toxicology. Chem. Res. Toxicol 2021, 34 (2), 171–175. - PubMed

Publication types

MeSH terms