Hit-to-Lead Molecular Optimization using Machine Learning methods

○Daiki Erikawa

3:30 PM - 3:42 PM

[26L-pm11S] Hit-to-Lead Molecular Optimization using Machine Learning methods

○Daiki Erikawa¹, Nobuaki Yasuo², Masakazu Sekijima^1,2 (1. Department of Computer Science, Tokyo Institute of Technology, 2. Academy for Convergence of Materials and Informatics (TAC-MI))

A password that applicants have been notified of is required to view abstracts.
If you are a participant and need to confirm the password, please contact us by e-mail about which annual meeting you would like to know the password for to view abstracts.
We will reply after confirming that you were a participant.
Thank you for your understanding.

Presentation information

[26L-pm] Database, data mining/Molecular modeling, QSAR

[26L-pm11S] Hit-to-Lead Molecular Optimization using Machine Learning methods

Password