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ChemAP: predicting drug approval with chemical structures before clinical trial phase by leveraging multi-modal embedding space and knowledge distillation

Crossref DOI link: https://doi.org/10.1038/s41598-024-72868-0

Published Online: 2024-10-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cho, Changyun

Lee, Sangseon

Bang, Dongmin

Piao, Yinhua

Kim, Sun
Funding

Funding for this research was provided by:

National Research Foundation (NRF-2022M3E5F3085677)

National Research Foundation (RS-2023-00246586)

Institute of Computer Technology at Seoul National University

Institute of Information & communications Technology Planning & Evaluation (RS-2021-II211343)

AIGENDRUG
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Text and Data Mining valid from 2024-10-03

Version of Record valid from 2024-10-03
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Article History

Received: 22 July 2024

Accepted: 11 September 2024

First Online: 3 October 2024

Declarations

:

: The authors declare no competing interests.

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