Tsuda Koji

ツダコウジ | Tsuda Koji

Affiliation and department：
Job title：教授
Research theme for competitive and other funds (14)：

2020 - 2025 探索的分析によるデータ駆動型仮説の信頼性評価法の確立と生命科学分野における実証
2020 - 2024 機械学習が道先案内する進化分子工学:がん治療抗体のスマート成熟プロセス提案
2015 - 2020 Research on Fundamental Algorithms of Discrete Structure Manipulation Systems
2016 - 2018 Development of machine learning methods for materials informatics
2015 - 2018 Exploration of nanostructure-property relationships for materials innovation

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Papers (147)：

Louis-Philippe Picard, Alexander Orazietti, Duy Phuoc Tran, Andrejs Tucs, Sari Hagimoto, Zhenzhou Qi, Shuya Kate Huang, Koji Tsuda, Akio Kitao, Adnan Sljoka, et al. Balancing G protein selectivity and efficacy in the adenosine A2A receptor. Nature chemical biology. 2024
Andrejs Tučs, Tomoyuki Ito, Yoichi Kurumida, Sakiya Kawada, Hikaru Nakazawa, Yutaka Saito, Mitsuo Umetsu, Koji Tsuda. Extensive antibody search with whole spectrum black-box optimization. Scientific Reports. 2024. 14. 1. 552
Yota Fukui, Kosuke Minami, Kota Shiba, Genki Yoshikawa, Koji Tsuda, Ryo Tamura. Automated odor-blending with one-pot Bayesian optimization. Digital Discovery. 2024. 3. 5. 969-976
Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi. Efficient model selection for predictive pattern mining model by safe pattern pruning. Patterns. 2023
Kei Terayama, Yamato Osaki, Takehiro Fujita, Ryo Tamura, Masanobu Naito, Koji Tsuda, Toru Matsui, Masato Sumita. Koopmans’ Theorem-Compliant Long-Range Corrected (KTLC) Density Functional Mediated by Black-Box Optimization and Data-Driven Prediction for Organic Molecules. Journal of Chemical Theory and Computation. 2023. 19. 19. 6770-6781

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MISC (13)：

Tomoyuki Ito, Hafumi Nishi, Thuy Duong Nguyen, Yutaka Saito, Tomoshi Kameda, Hikaru Nakazawa, Koji Tsuda, Mitsuo Umetsu. Application of Next-Generation Sequencing Analysis in the Directed Evolution for Creating Antibody Mimic. BIOPHYSICAL JOURNAL. 2021. 120. 3. 87A-87A
Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Takumi Sato, Tomoshi Kameda, Koji Tsuda, Mitsuo Umetsu. Can Machine Learning Guide Directed Evolution of Functional Proteins. BIOPHYSICAL JOURNAL. 2020. 118. 3. 339A-339A
Tomoshi Kameda, Yutaka Saito, Misaki Oikawa, Hikaru Nakazawa, Teppei Niide, Koji Tsuda, Mitsuo Umetsu. MACHINE-LEARNING-GUIDED MUTAGENESIS FOR DIRECTED EVOLUTION OF FLUORESCENT PROTEINS. PROTEIN SCIENCE. 2019. 28. 203-204
Ichigaku Takigawa, Ken-ichi Shimizu, Koji Tsuda, Satoru Takakusagi. Machine learning predictions of factors affecting the activity of heterogeneous metal catalysts. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY. 2018. 255
Safe Pruning Rule for Predictive Sequential Pattern Mining and Its Application to Bio-logging Data Analysis. 2017. 116. 500. 41-48

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