Teruki Honma

According to our database, Teruki Honma authored at least 14 papers between 2008 and 2023.

Collaborative distances:

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

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

Protein-ligand binding affinity prediction of cyclin-dependent kinase-2 inhibitors by dynamically averaged fragment molecular orbital-based interaction energy.

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

J. Comput. Chem., 2022

2021

FMODB: The World's First Database of Quantum Mechanical Calculations for Biomacromolecules Based on the Fragment Molecular Orbital Method.

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

J. Chem. Inf. Model., 2021

Special Features of COVID-19 in the FMODB: Fragment Molecular Orbital Calculations and Interaction Energy Analysis of SARS-CoV-2-Related Proteins.

Kaori Fukuzawa, Koichiro Kato, Chiduru Watanabe, Yusuke Kawashima, Yuma Handa, Ami Yamamoto, Kazuki Watanabe, Tatsuya Ohyama, Kikuko Kamisaka, Daisuke Takaya, Teruki Honma

J. Chem. Inf. Model., 2021

2020

High-Precision Atomic Charge Prediction for Protein Systems Using Fragment Molecular Orbital Calculation and Machine Learning.

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

J. Chem. Inf. Model., 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

Force-field parametrization based on radial and energy distribution functions.

Shuntaro Chiba, Yasushi Okuno, Teruki Honma, Mitsunori Ikeguchi

J. Comput. Chem., 2019

2017

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.

Chiduru Watanabe, Hirofumi Watanabe, Kaori Fukuzawa, Lorien J. Parker, Yoshio Okiyama, Hitomi Yuki, Shigeyuki Yokoyama, Hirofumi Nakano, Shigenori Tanaka, Teruki Honma

J. Chem. Inf. Model., December, 2017

Bioisostere Identification by Determining the Amino Acid Binding Preferences of Common Chemical Fragments.

Tomohiro Sato, Noriaki Hashimoto, Teruki Honma

J. Chem. Inf. Model., December, 2017

2013

Prediction of Ligand-Induced Structural Polymorphism of Receptor Interaction Sites Using Machine Learning.

Daisuke Takaya, Tomohiro Sato, Hitomi Yuki, Shunta Sasaki, Akiko Tanaka, Shigeyuki Yokoyama, Teruki Honma

J. Chem. Inf. Model., 2013

2012

Application of Support Vector Machine to Three-Dimensional Shape-Based Virtual Screening Using Comprehensive Three-Dimensional Molecular Shape Overlay with Known Inhibitors.

Tomohiro Sato, Hitomi Yuki, Daisuke Takaya, Shunta Sasaki, Akiko Tanaka, Teruki Honma

J. Chem. Inf. Model., 2012

2010

Combining Machine Learning and Pharmacophore-Based Interaction Fingerprint for in Silico Screening.

Tomohiro Sato, Teruki Honma, Shigeyuki Yokoyama

J. Chem. Inf. Model., 2010

2008

Prediction of Human Liver Microsomal Stability with Machine Learning.

Yojiro Sakiyama, Hitomi Yuki, Teruki Honma

Proceedings of the 2008 International Conference on Artificial Intelligence, 2008