Shoichi Ishida
Cited by
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Extraction of protein dynamics information from cryo-EM maps using deep learning
S Matsumoto, S Ishida, M Araki, T Kato, K Terayama, Y Okuno
Nature Machine Intelligence 3 (2), 153-160, 2021
kGCN: a graph-based deep learning framework for chemical structures
R Kojima, S Ishida, M Ohta, H Iwata, T Honma, Y Okuno
Journal of Cheminformatics 12, 1-10, 2020
Prediction and interpretable visualization of retrosynthetic reactions using graph convolutional networks
S Ishida, K Terayama, R Kojima, K Takasu, Y Okuno
Journal of chemical information and modeling 59 (12), 5026-5033, 2019
CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration
R Shibukawa, S Ishida, K Yoshizoe, K Wasa, K Takasu, Y Okuno, K Terayama, K ...
Journal of Cheminformatics 12 (52), 2020
Ai-driven synthetic route design incorporated with retrosynthesis knowledge
S Ishida, K Terayama, R Kojima, K Takasu, Y Okuno
Journal of chemical information and modeling 62 (6), 1357-1367, 2022
Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search
T Yoshizawa, S Ishida, T Sato, M Ohta, T Honma, K Terayama
Journal of Chemical Information and Modeling 62 (22), 5351-5360, 2022
Deep Learning-Based Differential Diagnosis of Follicular Thyroid Tumors Using Histopathological Images
S Nojima, T Kadoi, A Suzuki, C Kato, S Ishida, K Kido, K Fujita, Y Okuno, ...
Modern Pathology 36 (11), 100296, 2023
Design of antimicrobial peptides containing non-proteinogenic amino acids using multi-objective Bayesian optimisation
Y Murakami, S Ishida, Y Demizu, K Terayama
ChemTSv2: Functional molecular design using de novo molecule generator
S Ishida, T Aasawat, M Sumita, M Katouda, T Yoshizawa, K Yoshizoe, ...
Wiley Interdisciplinary Reviews: Computational Molecular Science, e1680, 2023
A Novel Three-Dimensional Imaging System Based on Polysaccharide Staining for Accurate Histopathological Diagnosis of Inflammatory Bowel Diseases
S Nojima, S Ishida, K Terayama, K Matsumoto, T Matsui, S Tahara, ...
Cellular and Molecular Gastroenterology and Hepatology 14 (4), 905-924, 2022
深層学習と木探索に基づく de novo 分子設計
石田祥一, 吉澤竜哉, 寺山慧
構造活性相関部会ニュースレター SAR News 44, 1-7, 2023
Predicting condensate formation of protein and RNA under various environmental conditions
KY Chin, S Ishida, K Terayama
bioRxiv, 2023.06. 01.543215, 2023
Quantitative analysis of protein dynamics using a deep learning technique combined with experimental cryo-EM density data and MD simulations
S Matsumoto, S Ishida, K Terayama, Y Okuno
Biophysics and Physicobiology 20 (2), e200022, 2023
クライオ EM 密度マップからのタンパク質ダイナミクス情報推定
寺山慧, 石田祥一, 松本篤幸, 奥野恭史
生物工学会誌 100 (11), 599-602, 2022
GCN-Based Structure-Activity Relationship and DFT Studies of Staphylococcus aureus FabI Inhibitors
GC Veríssimo, VS dos Santos Junior, PO Fernandes, S Ishida, R Kojima, ...
International Journal of Quantitative Structure-Property Relationships …, 2022
Complex network prediction using deep learning
Y Tanaka, R Kojima, S Ishida, F Yamashita, Y Okuno
arXiv preprint arXiv:2104.03871, 2021
Development of an AI-Driven Organic Synthesis Planning Approach with Retrosynthesis Knowledge
S Ishida
Kyoto University, 2021
AI による逆合成解析に向けて
寺山慧, 石田祥一, 奥野恭史
細胞 51 (7), 326-329, 2019
囲碁 AI から逆合成解析へ: 情報科学からのアプローチ
寺山慧, 石田祥一, 奥野恭史
化学= Chemistry 74 (2), 36-40, 2019
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