Nobuaki Yasuo

CoDe-DTI: Collaborative Deep Learning-based Drug-Target Interaction Prediction

Yusuke Nakashima, Masakazu Sekijima, Nobuaki Yasuo, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Predicting Strategies for Lead Optimization via Learning to Rank

Masakazu Sekijima, Keisuke Watanabe, Nobuaki Yasuo, 2018 .

Improved Method of Structure-Based Virtual Screening via Interaction-Energy-Based Learning

Masakazu Sekijima, Nobuaki Yasuo, M. Sekijima, 2019, J. Chem. Inf. Model..

Compound property enhancement by virtual compound synthesis

Masakazu Sekijima, Nobuaki Yasuo, Naoki Arai, 2018, J. Bioinform. Comput. Biol..

Determination of LQR weights by Bayesian optimization method using multiple earthquake waves

Jinhua She, Kou Miyamoto, Nobuaki Yasuo, 2020, IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society.

Development of Postprocessing Method of Protein-Ligand Docking using Interaction Fingerprint

Masakazu Sekijima, Nobuaki Yasuo, 2017 .

MERMAID: an open source automated hit-to-lead method based on deep reinforcement learning

Masakazu Sekijima, Nobuaki Yasuo, Daiki Erikawa, 2021, Journal of Cheminformatics.

HoloMol: Protein and Ligand Visualization System for Drug Discovery with Augmented Reality

Masakazu Sekijima, Nobuaki Yasuo, Atsushi Koyama, 2021 .

Leave-One-Element-Out Cross-Validation for Band Gap Prediction of Halide Double Perovskites

Masakazu Sekijima, Nobuaki Yasuo, Hiroki Igarashi, 2021 .

An iterative compound screening contest method for identifying target protein inhibitors using the tyrosine-protein kinase Yes

Daisuke Kihara, Takashi Ishida, Masakazu Sekijima, 2017, Scientific Reports.

Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target

Kun-Yi Hsin, Hiroaki Kitano, Y-h. Taguchi, 2015, Scientific Reports.