Work

Multitask Pretraining Framework for Improving Predictivity of Machine Learning Chemical Bioactivity Models for Low-Data Endpoints

Year: 2026

Type: article

Source: Chemical Research in Toxicology

DOI: 10.1021/acs.chemrestox.6c00143

Authors: Noah J. Wichrowski, Mary Versa Clemens-Sewall, Karun K. Rao, Casey Richardson, Nam Q. Le, Phillip T. Koshute, James Y. Liu, Yaroslav Chushak, Jayme P. Coyle, Teresa R. Sterner, Rebecca A. Clewell

Institutions: Johns Hopkins University Applied Physics Laboratory, Henry M. Jackson Foundation, United States Air Force Research Laboratory, BlueHalo (United States)

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

Funder: U.S. Department of Defense

OpenAlex ID: W7140447665

FWCI: 3.49

Cites: 39

Cited by: 1

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