Takuto Koyama

According to our database, Takuto Koyama authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

Chemical genomics language model toward reliable and explainable compound-protein interaction exploration.

Takuto Koyama, Hayato Tsumura, Ryunosuke Okita, Kimihiro Yamazaki, Aki Hasegawa, Keiko Imamura, Takashi Kato, Hiroaki Iwata, Ryosuke Kojima, Haruhisa Inoue, Shigeyuki Matsumoto, Yasushi Okuno

J. Cheminformatics, December, 2026

Empowering federated learning for robust compound-protein interaction prediction across heterogeneous cross-pharma domains.

Takuto Koyama, Hiroaki Iwata, Ryosuke Kojima, Takao Otsuka, Aki Hasegawa, Seungeon Lee, Hiroshi Ueda, Toshiharu Morimoto, Ryoko Sasaki, Nao Torimoto, Sei Murakami, Manabu Tojo, Teruki Honma, Shigeyuki Matsumoto, Yasushi Okuno

J. Cheminformatics, December, 2026

2025

kMoL: an open-source machine and federated learning library for drug discovery.

Romeo Cozac, Haris Hasic, Jun Jin Choong, Vincent Richard, Loic Beheshti, Cyrille Froehlich, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Hiroaki Iwata, Aki Hasegawa, Takao Otsuka, Yasushi Okuno

J. Cheminformatics, December, 2025

HELM-BERT: A Transformer for Medium-sized Peptide Property Prediction.

Seungeon Lee, Takuto Koyama, Itsuki Maeda, Shigeyuki Matsumoto, Yasushi Okuno

CoRR, December, 2025

Improving ADME Prediction with Multitask Graph Neural Networks and Assessing Explainability in Lead Optimization.

Shoma Ito, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Yuji Okamoto, Masataka Kuroda, Hitoshi Kawashima, Reiko Watanabe, Tomoki Yonezawa, Takaaki Sumiyoshi, Kazuyoshi Ikeda, Kenji Mizuguchi, Hiroaki Iwata, Yasushi Okuno

J. Chem. Inf. Model., 2025

Accelerating Drug Discovery through Semantic Data Integration and Machine Learning: From Biomedical Knowledge Graphs to Predictive Models.

Toshiaki Katayama, Shuichi Kawashima, Ryosuke Kojima, Takuto Koyama, Mayumi Kamada, Yuki Moriya

Proceedings of the Joint Proceedings of Industry, 2025

2023

VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search.

Hiroaki Iwata, Taichi Nakai, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Yasushi Okuno

J. Chem. Inf. Model., December, 2023

Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples.

Takuto Koyama, Shigeyuki Matsumoto, Hiroaki Iwata, Ryosuke Kojima, Yasushi Okuno

J. Chem. Inf. Model., August, 2023

2022

Robotic Alignment Technique of Search Control for Laser Beam Communication.

Kota Watanabe, Takuto Koyama, Hiroshi Koga, Kiyotaka Izumi, Takeshi Tsujimura

Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

Optical beam control for aerial transmission based on laser profile simulation.

Takuto Koyama, Hiroshi Koga, Kota Watanabe, Kiyotaka Izumi, Takeshi Tsujimura

Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022

Tactical Alignment of Aerial Transmission Laser Beam for Free Space Optics Communication.

Kota Watanabe, Takuto Koyama, Hiroshi Koga, Kiyotaka Izumi, Takeshi Tsujimura

Proceedings of the Advances in Network-Based Information Systems, 2022

2021

Optical Simulations on Aerial Transmitting Laser Beam for Free Space Optics Communication.

Shun Jono, Takuto Koyama, Kota Watanabe, Kiyotaka Izumi, Takeshi Tsujimura

Proceedings of the Advances in Networked-Based Information Systems, 2021