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Prediction of intrinsic solubility for drug-like organic compounds using automated network optimizer (ANO) for physicochemical feature and hyperparameter optimization

Crossref DOI link: https://doi.org/10.1186/s13321-026-01220-7

Published Online: 2026-05-09

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

Authors

Chung, You Kyoung

Lee, Seung Jin

Lee, Junho

Cho, Himchanvit

Kim, Sung-Jin

Huh, Joonsuk
Funding

Funding for this research was provided by:

Institute of Information & communications Technology Planning & Evaluation (IITP) grant (RS-2019-II190421)

Ministry of Health & Welfare, Republic of Korea (RS-2025-25456722)

Ministry of Trade, Industry and Energy (MOTIE), Korea (RS-2024-00466693)

Yonsei University (2025-22-0140)
License Information

Text and Data Mining valid from 2026-05-09

Version of Record valid from 2026-07-03
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Article History

Received: 23 December 2025

Accepted: 4 May 2026

First Online: 9 May 2026

Declarations

:

: The authors declare no competing interests.

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