Shoichi Ishida

According to our database, Shoichi Ishida authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

Visualizing fatigue mechanisms in non-communicable diseases: an integrative approach with multi-omics and machine learning.

Yusuke Kobayashi, Naoki Fujiwara, Yuki Murakami, Shoichi Ishida, Sho Kinguchi, Tatsuya Haze, Kengo Azushima, Akira Fujiwara, Hiromichi Wakui, Masayoshi Sakakura, Kei Terayama, Nobuhito Hirawa, Tetsuo Isozaki, Hiroaki Yasuzaki, Hajime Takase, Yuichiro Yano, Kouichi Tamura

BMC Medical Informatics Decis. Mak., December, 2025

GESim: ultrafast graph-based molecular similarity calculation via von Neumann graph entropy.

Hiroaki Shiokawa, Shoichi Ishida, Kei Terayama

J. Cheminformatics, December, 2025

Large language models open new way of AI-assisted molecule design for chemists.

Shoichi Ishida, Tomohiro Sato, Teruki Honma, Kei Terayama

J. Cheminformatics, December, 2025

Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices.

Hikari Tomita, Nobuhiro Nakamura, Shoichi Ishida, Toshio Kamiya, Kei Terayama

CoRR, January, 2025

Qcforever2: Advanced Automation of Quantum Chemistry Computations.

Masato Sumita, Kei Terayama, Shoichi Ishida, Kensuke Suga, Shohei Saito, Koji Tsuda

J. Comput. Chem., 2025

2024

Predicting condensate formation of protein and RNA under various environmental conditions.

Ka Yin Chin, Shoichi Ishida, Yukio Sasaki, Kei Terayama

BMC Bioinform., December, 2024

2023

AI-driven molecular generation of not-patented pharmaceutical compounds using world open patent data.

Yugo Shimizu, Masateru Ohta, Shoichi Ishida, Kei Terayama, Masanori Osawa, Teruki Honma, Kazuyoshi Ikeda

J. Cheminformatics, December, 2023

2022

Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search.

Tatsuya Yoshizawa, Shoichi Ishida, Tomohiro Sato, Masateru Ohta, Teruki Honma, Kei Terayama

J. Chem. Inf. Model., 2022

AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge.

Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno

J. Chem. Inf. Model., 2022

2021

Extraction of protein dynamics information from cryo-EM maps using deep learning.

Shigeyuki Matsumoto, Shoichi Ishida, Mitsugu Araki, Takayuki Kato, Kei Terayama, Yasushi Okuno

Nat. Mach. Intell., 2021

Complex network prediction using deep learning.

Yoshihisa Tanaka, Ryosuke Kojima, Shoichi Ishida, Fumiyoshi Yamashita, Yasushi Okuno

CoRR, 2021

2020

CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration.

Ryosuke Shibukawa, Shoichi Ishida, Kazuki Yoshizoe, Kunihiro Wasa, Kiyosei Takasu, Yasushi Okuno, Kei Terayama, Koji Tsuda

J. Cheminformatics, 2020

kGCN: a graph-based deep learning framework for chemical structures.

Ryosuke Kojima, Shoichi Ishida, Masateru Ohta, Hiroaki Iwata, Teruki Honma, Yasushi Okuno

J. Cheminformatics, 2020

2019

Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks.

Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno

J. Chem. Inf. Model., 2019