Work

Improved ADME Prediction by Multitask Pretraining on Predicted Data: Insights from the ASAP-Polaris-OpenADMET Blind Challenge

Year: 2025

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.5c02030

Authors: Long-Hung Dinh Pham, Minh-Tri Le, Khac-Minh Thai

Institutions: Imperial College London, Vietnam National University Ho Chi Minh City, Sağlık Bilimleri Üniversitesi

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Viet Nam National University Ho Chi Minh City, Engineering and Physical Sciences Research Council

OpenAlex ID: W7116743974

FWCI: 0.953

Cites: 31

Cited by: 2

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