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Chemical & Pharmaceutical Bulletin
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August 12, 2025
Elucidating the Light-Emitting Species Generated from Aminoluciferin in Firefly/Beetle Bioluminescence
Hideo Takakura, Ryosuke Kojima, Takeaki Ozawa, et al.
International Journal of Medical Informatics
|
January 20, 2020
Prediction of blood pressure variability using deep neural networks
Hiroshi Koshimizu, Ryosuke Kojima, Kazuomi Kario, et al.
BMC Bioinformatics
|
October 10, 2023
Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network
Narumi Hatano, Mayumi Kamada, Ryosuke Kojima, et al.
Analytical Chemistry
|
August 1, 2022
Measuring the pH of Acidic Vesicles in Live Cells with an Optimized Fluorescence Lifetime Imaging Probe
Kinuko Koda, Sascha Keller, Ryosuke Kojima, et al.
The Journal of Toxicological Sciences
|
April 30, 2023
Development of a GCN-based model to predict in vitro phototoxicity from the chemical structure and HOMO-LUMO gap
Yoshinobu Igarashi, Suyong Re, Ryosuke Kojima, et al.
Plos One
|
August 31, 2022
Characterizing eye-gaze positions of people with severe motor dysfunction: Novel scoring metrics using eye-tracking and video analysis
Mari Okamoto, Ryosuke Kojima, Akihiko Ueda, et al.
Chembiochem : a European Journal of Chemical Biology
|
June 9, 2012
Development of 5'- and 7'-substituted luciferin analogues as acid-tolerant substrates of firefly luciferase
Hideo Takakura, Ryosuke Kojima, Takeaki Ozawa, et al.
Journal of Chemical Information and Modeling
|
November 27, 2019
Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks
Shoichi Ishida, Kei Terayama, Ryosuke Kojima, et al.
Journal of Chemical Information and Modeling
|
March 8, 2022
AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge
Shoichi Ishida, Kei Terayama, Ryosuke Kojima, et al.
Communications Chemistry
|
October 1, 2025
Transfer learning from custom-tailored virtual molecular databases to real-world organic photosensitizers for catalytic activity prediction
Naoki Noto, Taiki Nagano, Mikito Fujinami, et al.
Page
of 10
Search research articles
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Showing results (11-20 of 97) with videos related to
Sort By:
Page
of 10
Chemical & Pharmaceutical Bulletin
|
August 12, 2025
Elucidating the Light-Emitting Species Generated from Aminoluciferin in Firefly/Beetle Bioluminescence
Hideo Takakura, Ryosuke Kojima, Takeaki Ozawa, et al.
International Journal of Medical Informatics
|
January 20, 2020
Prediction of blood pressure variability using deep neural networks
Hiroshi Koshimizu, Ryosuke Kojima, Kazuomi Kario, et al.
BMC Bioinformatics
|
October 10, 2023
Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network
Narumi Hatano, Mayumi Kamada, Ryosuke Kojima, et al.
Analytical Chemistry
|
August 1, 2022
Measuring the pH of Acidic Vesicles in Live Cells with an Optimized Fluorescence Lifetime Imaging Probe
Kinuko Koda, Sascha Keller, Ryosuke Kojima, et al.
The Journal of Toxicological Sciences
|
April 30, 2023
Development of a GCN-based model to predict in vitro phototoxicity from the chemical structure and HOMO-LUMO gap
Yoshinobu Igarashi, Suyong Re, Ryosuke Kojima, et al.
Plos One
|
August 31, 2022
Characterizing eye-gaze positions of people with severe motor dysfunction: Novel scoring metrics using eye-tracking and video analysis
Mari Okamoto, Ryosuke Kojima, Akihiko Ueda, et al.
Chembiochem : a European Journal of Chemical Biology
|
June 9, 2012
Development of 5'- and 7'-substituted luciferin analogues as acid-tolerant substrates of firefly luciferase
Hideo Takakura, Ryosuke Kojima, Takeaki Ozawa, et al.
Journal of Chemical Information and Modeling
|
November 27, 2019
Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks
Shoichi Ishida, Kei Terayama, Ryosuke Kojima, et al.
Journal of Chemical Information and Modeling
|
March 8, 2022
AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge
Shoichi Ishida, Kei Terayama, Ryosuke Kojima, et al.
Communications Chemistry
|
October 1, 2025
Transfer learning from custom-tailored virtual molecular databases to real-world organic photosensitizers for catalytic activity prediction
Naoki Noto, Taiki Nagano, Mikito Fujinami, et al.
Page
of 10