The 144th Annual Meeting of the Pharmaceutical Society of Japan (Yokohama)

Presentation information

Poster Presentation

(B) Pharmaceutical Physics

[30P-pm] Molecular modeling, QSAR/Quantum chemical calculation, molecular mechanics, molecular dynamics/Database, data mining/Bioinformatics/Pharmaceutical physical chemistry

Sat. Mar 30, 2024 1:30 PM - 5:00 PM [Poster] Exhibition Hall AB (1F)

[30P-pm143S] Evaluating the effectiveness of FMO data and transfer learning in constructing machine learning force fields for biomolecular systems.

○Hiromu Matsumoto1, Ryosuke Kita1, Chiduru Watanabe2, Masateru Ohta2, Naoki Tanimura3, Koji Okuwaki4, Mitsunori Ikeguchi2,5, Kaori Fukuzawa6, Teruki Honma2, Tsuyohiko Fujigaya1, Koichiro Kato1 (1. Grad. Sch. Eng., Kyushu Univ., 2. RIKEN, 3. Mizuho Research & Technologies, Ltd., 4. JSOL Corporation, 5. Yokohama City Univ., 6. Grad. Sch. Pharm. Sci., Osaka Univ.)

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

Password