Category:
Theoretical and Computational Chemistry
,
Working Paper
, Title:
Prediction of Inhibitory Activity Against the MATE1 Transporter via Combined Fingerprint- and Physics-Based Machine Learning Models
, Authors:
Koichi Handa, Shunta Sasaki, Satoshi Asano, Michiharu Kageyama, Takeshi Iijima, Andreas Bender
Version 1 posted 13 March 2024
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