Presentation Information
[28P2-am1-009S]Development and performance evaluation of a machine learning-based model for predicting binding poses of RORγ inhibitors
○Daiki Fujioka1, Kentaro Kawai1, Yukiko Karuo1, Atsushi Tarui1, Kazuyuki Sato1, Masaaki Omote1 (1. Sch. Pharm. Sci., Setsunan Univ.)
Password required to view
Enter the password to view the abstracts.
The password will be emailed to those who have completed the registration.