Teruki Honma - RankMe

19 papers Misc 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Empowering federated learning for robust compound-protein interaction prediction across heterogeneous cross-pharma domains. J. Cheminformatics 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
2025	J	`jnl`	Large language models open new way of AI-assisted molecule design for chemists. J. Cheminformatics Shoichi Ishida, Tomohiro Sato, Teruki Honma, Kei Terayama
2025	J	`jnl`	Quantitative Structure-Activity Relationships for Human Galectin-3 Inhibitors: Insights from Quantum Chemical Interaction Energy Terms. J. Chem. Inf. Model. Tomohide Masuda, Chiduru Watanabe, Koichiro Kato, Teruki Honma, Masateru Ohta, Mitsunori Ikeguchi
2024	J	`jnl`	FMOe: Preprocessing and Visualizing Package of the Fragment Molecular Orbital Method for Molecular Operating Environment and Its Applications in Covalent Ligand and Metalloprotein Analyses. J. Chem. Inf. Model. Hirotomo Moriwaki, Yusuke Kawashima, Chiduru Watanabe, Kikuko Kamisaka, Yoshio Okiyama, Kaori Fukuzawa, Teruki Honma
2024	J	`jnl`	Geometry Optimization Using the Frozen Domain and Partial Dimer Approaches in the Fragment Molecular Orbital Method: Implementation, Benchmark, and Applications to Protein Ligand-Binding Sites. J. Chem. Inf. Model. Koji Okuwaki, Naoki Watanabe, Koichiro Kato, Chiduru Watanabe, Naofumi Nakayama, Akifumi Kato, Yuji Mochizuki, Tatsuya Nakano, Teruki Honma, Kaori Fukuzawa
2023	J	`jnl`	AI-driven molecular generation of not-patented pharmaceutical compounds using world open patent data. J. Cheminformatics Yugo Shimizu, Masateru Ohta, Shoichi Ishida, Kei Terayama, Masanori Osawa, Teruki Honma, Kazuyoshi Ikeda
2022	J	`jnl`	Protein-ligand binding affinity prediction of cyclin-dependent kinase-2 inhibitors by dynamically averaged fragment molecular orbital-based interaction energy. J. Comput. Chem. Kenichiro Takaba, Chiduru Watanabe, Atsushi Tokuhisa, Yoshinobu Akinaga, Biao Ma, Ryo Kanada, Mitsugu Araki, Yasushi Okuno, Yusuke Kawashima, Hirotomo Moriwaki, Norihito Kawashita, Teruki Honma, Kaori Fukuzawa, Shigenori Tanaka
2022	J	`jnl`	Selective Inhibitor Design for Kinase Homologs Using Multiobjective Monte Carlo Tree Search. J. Chem. Inf. Model. Tatsuya Yoshizawa, Shoichi Ishida, Tomohiro Sato, Masateru Ohta, Teruki Honma, Kei Terayama
2021	J	`jnl`	FMODB: The World's First Database of Quantum Mechanical Calculations for Biomacromolecules Based on the Fragment Molecular Orbital Method. J. Chem. Inf. Model. Daisuke Takaya, Chiduru Watanabe, Shunpei Nagase, Kikuko Kamisaka, Yoshio Okiyama, Hirotomo Moriwaki, Hitomi Yuki, Tomohiro Sato, Noriyuki Kurita, Yoichiro Yagi, Tatsuya Takagi, Norihito Kawashita, Kenichiro Takaba, Tomonaga Ozawa, Midori Takimoto-Kamimura, Shigenori Tanaka, Kaori Fukuzawa, Teruki Honma
2021	J	`jnl`	Special Features of COVID-19 in the FMODB: Fragment Molecular Orbital Calculations and Interaction Energy Analysis of SARS-CoV-2-Related Proteins. J. Chem. Inf. Model. Kaori Fukuzawa, Koichiro Kato, Chiduru Watanabe, Yusuke Kawashima, Yuma Handa, Ami Yamamoto, Kazuki Watanabe, Tatsuya Ohyama, Kikuko Kamisaka, Daisuke Takaya, Teruki Honma
2020	J	`jnl`	High-Precision Atomic Charge Prediction for Protein Systems Using Fragment Molecular Orbital Calculation and Machine Learning. J. Chem. Inf. Model. Koichiro Kato, Tomohide Masuda, Chiduru Watanabe, Naoki Miyagawa, Hideo Mizouchi, Shumpei Nagase, Kikuko Kamisaka, Kanji Oshima, Satoshi Ono, Hiroshi Ueda, Atsushi Tokuhisa, Ryo Kanada, Masateru Ohta, Mitsunori Ikeguchi, Yasushi Okuno, Kaori Fukuzawa, Teruki Honma
2020	J	`jnl`	kGCN: a graph-based deep learning framework for chemical structures. J. Cheminformatics Ryosuke Kojima, Shoichi Ishida, Masateru Ohta, Hiroaki Iwata, Teruki Honma, Yasushi Okuno
2019	J	`jnl`	Force-field parametrization based on radial and energy distribution functions. J. Comput. Chem. Shuntaro Chiba, Yasushi Okuno, Teruki Honma, Mitsunori Ikeguchi
2017	J	`jnl`	Bioisostere Identification by Determining the Amino Acid Binding Preferences of Common Chemical Fragments. J. Chem. Inf. Model. Tomohiro Sato, Noriaki Hashimoto, Teruki Honma
2017	J	`jnl`	Theoretical Analysis of Activity Cliffs among Benzofuranone-Class Pim1 Inhibitors Using the Fragment Molecular Orbital Method with Molecular Mechanics Poisson-Boltzmann Surface Area (FMO+MM-PBSA) Approach. J. Chem. Inf. Model. Chiduru Watanabe, Hirofumi Watanabe, Kaori Fukuzawa, Lorien J. Parker, Yoshio Okiyama, Hitomi Yuki, Shigeyuki Yokoyama, Hirofumi Nakano, Shigenori Tanaka, Teruki Honma
2013	J	`jnl`	Prediction of Ligand-Induced Structural Polymorphism of Receptor Interaction Sites Using Machine Learning. J. Chem. Inf. Model. Daisuke Takaya, Tomohiro Sato, Hitomi Yuki, Shunta Sasaki, Akiko Tanaka, Shigeyuki Yokoyama, Teruki Honma
2012	J	`jnl`	Application of Support Vector Machine to Three-Dimensional Shape-Based Virtual Screening Using Comprehensive Three-Dimensional Molecular Shape Overlay with Known Inhibitors. J. Chem. Inf. Model. Tomohiro Sato, Hitomi Yuki, Daisuke Takaya, Shunta Sasaki, Akiko Tanaka, Teruki Honma
2010	J	`jnl`	Combining Machine Learning and Pharmacophore-Based Interaction Fingerprint for in Silico Screening. J. Chem. Inf. Model. Tomohiro Sato, Teruki Honma, Shigeyuki Yokoyama
2008	Misc	`conf`	Prediction of Human Liver Microsomal Stability with Machine Learning. IC-AI Yojiro Sakiyama, Hitomi Yuki, Teruki Honma