Nobuaki Yasuo

11 papers C 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
DiffInt: A Diffusion Model for Structure-Based Drug Design with Explicit Hydrogen Bond Interaction Guidance.
J. Chem. Inf. Model.
Masami Sako, Nobuaki Yasuo, Masakazu Sekijima
2025 J jnl
Innovations in mathematical modeling, AI, and optimization techniques.
J. Supercomput.
Masahito Ohue, Nobuaki Yasuo, Masami Takata
2024 J jnl
IEV2Mol: Molecular Generative Model Considering Protein-Ligand Interaction Energy Vectors.
J. Chem. Inf. Model.
Mami Ozawa, Shogo Nakamura, Nobuaki Yasuo, Masakazu Sekijima
2024 J jnl
Mothra: Multiobjective
J. Chem. Inf. Model.
Takamasa Suzuki, Dian Ma, Nobuaki Yasuo, Masakazu Sekijima
2022 C conf
An Improved Model for Predicting Compound Retrosynthesizability Using Machine Learning.
BIBE
Mami Ozawa, Nobuaki Yasuo, Masakazu Sekijima
2022 J jnl
Screening for Inhibitors of Main Protease in SARS-CoV-2: In Silico and In Vitro Approach Avoiding Peptidyl Secondary Amides.
J. Chem. Inf. Model.
Kazuki Z. Yamamoto, Nobuaki Yasuo, Masakazu Sekijima
2021 J jnl
MERMAID: an open source automated hit-to-lead method based on deep reinforcement learning.
J. Cheminformatics
Daiki Erikawa, Nobuaki Yasuo, Masakazu Sekijima
2020 C conf
Determination of LQR weights by Bayesian optimization method using multiple earthquake waves.
IECON
Kou Miyamoto, Nobuaki Yasuo, Yinli Chen, Daiki Sato, Jinhua She
2019 J jnl
Improved Method of Structure-Based Virtual Screening via Interaction-Energy-Based Learning.
J. Chem. Inf. Model.
Nobuaki Yasuo, Masakazu Sekijima
2018 — conf
CoDe-DTI: Collaborative Deep Learning-based Drug-Target Interaction Prediction.
BIBM
Nobuaki Yasuo, Yusuke Nakashima, Masakazu Sekijima
2018 J jnl
Compound property enhancement by virtual compound synthesis.
J. Bioinform. Comput. Biol.
Naoki Arai, Shunsuke Yoshikawa, Nobuaki Yasuo, Ryunosuke Yoshino, Masakazu Sekijima