Multi-task gradient boosting with multi-modal molecular representations for simultaneous prediction of drug clearance and volume of distribution

• Gyu-Seong Lee ,

  Roles Conceptualization, Formal analysis

  ¶‡ These authors contributed equally to this work.

  Affiliation Department of AI Healthcare Convergence, Graduate School, CHA University, Pocheon-si, Republic of Korea

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• Hyeong-Gyu Choi ,

  Roles Resources, Validation, Visualization

  ¶‡ These authors contributed equally to this work.

  Affiliation Department of AI Healthcare Convergence, Graduate School, CHA University, Pocheon-si, Republic of Korea

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• Dae-Keun Park ,

  Roles Methodology, Software

  * E-mail: dkpark@cha.ac.kr (DKP); hyoyoung@tukorea.ac.kr (HYK)

  Affiliation Department of AI Healthcare Convergence, Graduate School, CHA University, Pocheon-si, Republic of Korea

  https://orcid.org/0000-0003-0028-3349

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• Hyo Young Kim

  Roles Funding acquisition, Project administration, Resources, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: dkpark@cha.ac.kr (DKP); hyoyoung@tukorea.ac.kr (HYK)

  Affiliation Department of Artificial Intelligence, Tech University of Korea, Siheung-si, Republic of Korea

  https://orcid.org/0009-0002-2320-1553

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