Nobuaki Yasuo

According to our database, Nobuaki Yasuo authored at least 11 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Innovations in mathematical modeling, AI, and optimization techniques.

Masahito Ohue, Nobuaki Yasuo, Masami Takata

J. Supercomput., January, 2025

DiffInt: A Diffusion Model for Structure-Based Drug Design with Explicit Hydrogen Bond Interaction Guidance.

Masami Sako, Nobuaki Yasuo, Masakazu Sekijima

J. Chem. Inf. Model., 2025

2024

Mothra: Multiobjective <i>de novo</i> Molecular Generation Using Monte Carlo Tree Search.

Takamasa Suzuki, Dian Ma, Nobuaki Yasuo, Masakazu Sekijima

J. Chem. Inf. Model., 2024

IEV2Mol: Molecular Generative Model Considering Protein-Ligand Interaction Energy Vectors.

Mami Ozawa, Shogo Nakamura, Nobuaki Yasuo, Masakazu Sekijima

J. Chem. Inf. Model., 2024

2022

Screening for Inhibitors of Main Protease in SARS-CoV-2: In Silico and In Vitro Approach Avoiding Peptidyl Secondary Amides.

Kazuki Z. Yamamoto, Nobuaki Yasuo, Masakazu Sekijima

J. Chem. Inf. Model., 2022

An Improved Model for Predicting Compound Retrosynthesizability Using Machine Learning.

Mami Ozawa, Nobuaki Yasuo, Masakazu Sekijima

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021

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

Daiki Erikawa, Nobuaki Yasuo, Masakazu Sekijima

J. Cheminformatics, 2021

2020

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

Kou Miyamoto, Nobuaki Yasuo, Yinli Chen, Daiki Sato, Jinhua She

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

2019

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

Nobuaki Yasuo, Masakazu Sekijima

J. Chem. Inf. Model., 2019

2018

Compound property enhancement by virtual compound synthesis.

Naoki Arai, Shunsuke Yoshikawa, Nobuaki Yasuo, Ryunosuke Yoshino, Masakazu Sekijima

J. Bioinform. Comput. Biol., 2018

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

Nobuaki Yasuo, Yusuke Nakashima, Masakazu Sekijima

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018