Nobuaki Yasuo

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 7

Top Topics

Nelder Mead Simplex

Reinforcement Learning

Optimization Method

Top Venues

J. Chem. Inf. Model.

J. Cheminformatics

Publications

Mami Ozawa, Nobuaki Yasuo, Masakazu Sekijima
An Improved Model for Predicting Compound Retrosynthesizability Using Machine Learning. BIBE (2022)
Kazuki Z. Yamamoto, Nobuaki Yasuo, Masakazu Sekijima
Screening for Inhibitors of Main Protease in SARS-CoV-2: In Silico and In Vitro Approach Avoiding Peptidyl Secondary Amides. J. Chem. Inf. Model. 62 (2) (2022)
Daiki Erikawa, Nobuaki Yasuo, Masakazu Sekijima
MERMAID: an open source automated hit-to-lead method based on deep reinforcement learning. J. Cheminformatics 13 (1) (2021)
Kou Miyamoto, Nobuaki Yasuo, Yinli Chen, Daiki Sato, Jinhua She
Determination of LQR weights by Bayesian optimization method using multiple earthquake waves. IECON (2020)
Nobuaki Yasuo, Masakazu Sekijima
Improved Method of Structure-Based Virtual Screening via Interaction-Energy-Based Learning. J. Chem. Inf. Model. 59 (3) (2019)
Naoki Arai, Shunsuke Yoshikawa, Nobuaki Yasuo, Ryunosuke Yoshino, Masakazu Sekijima
Compound property enhancement by virtual compound synthesis. J. Bioinform. Comput. Biol. 16 (3) (2018)
Nobuaki Yasuo, Yusuke Nakashima, Masakazu Sekijima
CoDe-DTI: Collaborative Deep Learning-based Drug-Target Interaction Prediction. BIBM (2018)