The 143rd Annual Meeting of the Pharmaceutical Society of Japan (Sapporo)

Presentation information

Print

Poster Presentation

(B) Pharmaceutical Physics

[28P2-am1] Informatics, in silico chemistry (computational chemistry)/Structural biology/Others

Tue. Mar 28, 2023 9:00 AM - 10:40 AM [Room P2] Gymnasium (1F)

[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.)

Enter the password to view the abstracts.
The password will be emailed to those who have completed the registration.

Password