Kei Terayama

According to our database, Kei Terayama authored at least 26 papers between 2013 and 2024.

Collaborative distances:

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

2024

Predicting condensate formation of protein and RNA under various environmental conditions.

Ka Yin Chin, Shoichi Ishida, Yukio Sasaki, Kei Terayama

BMC Bioinform., December, 2024

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

An efficient segmentation method based on semi-supervised learning for seafloor monitoring in Pujada Bay, Philippines.

Shulei Wang, Katsunori Mizuno, Shigeru Tabeta, Kei Terayama, Shingo Sakamoto, Yusuke Sugimoto, Kenichi Sugimoto, Hironobu Fukami, Lea A. Jimenez

Ecol. Informatics, December, 2023

Individual health-disease phase diagrams for disease prevention based on machine learning.

Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno

J. Biomed. Informatics, August, 2023

2022

Correction to: Semi-automation of gesture annotation by machine learning and human collaboration.

Naoto Ienaga, Alice Cravotta, Kei Terayama, Bryan W. Scotney, Hideo Saito, Maria Grazia Busà

Lang. Resour. Evaluation, 2022

Semi-automation of gesture annotation by machine learning and human collaboration.

Naoto Ienaga, Alice Cravotta, Kei Terayama, Bryan W. Scotney, Hideo Saito, Maria Grazia Busà

Lang. Resour. Evaluation, 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

Single-Image Super-Resolution Improvement of X-ray Single-Particle Diffraction Images Using a Convolutional Neural Network.

Atsushi Tokuhisa, Yoshinobu Akinaga, Kei Terayama, Yuji Okamoto, Yasushi Okuno

J. Chem. Inf. Model., 2022

QCforever: A Quantum Chemistry Wrapper for Everyone to Use in Black-Box Optimization.

Masato Sumita, Kei Terayama, Ryo Tamura, Koji Tsuda

J. Chem. Inf. Model., 2022

AI-Driven Synthetic Route Design Incorporated with Retrosynthesis Knowledge.

Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno

J. Chem. Inf. Model., 2022

Bayesian optimization package: PHYSBO.

Yuichi Motoyama, Ryo Tamura, Kazuyoshi Yoshimi, Kei Terayama, Tsuyoshi Ueno, Koji Tsuda

Comput. Phys. Commun., 2022

2021

Extraction of protein dynamics information from cryo-EM maps using deep learning.

Shigeyuki Matsumoto, Shoichi Ishida, Mitsugu Araki, Takayuki Kato, Kei Terayama, Yasushi Okuno

Nat. Mach. Intell., 2021

Pose Estimation of Swimming Fish Using NACA Airfoil Model for Collective Behavior Analysis.

Hitoshi Habe, Yoshiki Takeuchi, Kei Terayama, Masa-Aki Sakagami

J. Robotics Mechatronics, 2021

Structure-Based de Novo Molecular Generator Combined with Artificial Intelligence and Docking Simulations.

Biao Ma, Kei Terayama, Shigeyuki Matsumoto, Yuta Isaka, Yoko Sasakura, Hiroaki Iwata, Mitsugu Araki, Yasushi Okuno

J. Chem. Inf. Model., 2021

2020

Coarse-Grained Diffraction Template Matching Model to Retrieve Multiconformational Models for Biomolecule Structures from Noisy Diffraction Patterns.

Atsushi Tokuhisa, Ryo Kanada, Shuntaro Chiba, Kei Terayama, Yuta Isaka, Biao Ma, Narutoshi Kamiya, Yasushi Okuno

J. Chem. Inf. Model., 2020

CompRet: a comprehensive recommendation framework for chemical synthesis planning with algorithmic enumeration.

Ryosuke Shibukawa, Shoichi Ishida, Kazuki Yoshizoe, Kunihiro Wasa, Kiyosei Takasu, Yasushi Okuno, Kei Terayama, Koji Tsuda

J. Cheminformatics, 2020

2019

Prediction and Interpretable Visualization of Retrosynthetic Reactions Using Graph Convolutional Networks.

Shoichi Ishida, Kei Terayama, Ryosuke Kojima, Kiyosei Takasu, Yasushi Okuno

J. Chem. Inf. Model., 2019

2018

Improving the Accuracy of Protein-Ligand Binding Mode Prediction Using a Molecular Dynamics-Based Pocket Generation Approach.

Mitsugu Araki, Hiroaki Iwata, Biao Ma, Atsuto Fujita, Kei Terayama, Yukari Sagae, Fumie Ono, Koji Tsuda, Narutoshi Kamiya, Yasushi Okuno

J. Comput. Chem., 2018

Machine learning accelerates MD-based binding pose prediction between ligands and proteins.

Kei Terayama, Hiroaki Iwata, Mitsugu Araki, Yasushi Okuno, Koji Tsuda

Bioinform., 2018

2017

ChemTS: An Efficient Python Library for de novo Molecular Generation.

Xiufeng Yang, Jinzhe Zhang, Kazuki Yoshizoe, Kei Terayama, Koji Tsuda

CoRR, 2017

2016

Multiple fish tracking with an NACA airfoil model for collective behavior analysis.

Kei Terayama, Hitoshi Habe, Masa-Aki Sakagami

IPSJ Trans. Comput. Vis. Appl., 2016

2015

A Measurement Method for Speed Distribution of Collective Motion with Optical Flow and Its Applications to School of Fish.

Kei Terayama, Hirohisa Hioki, Masa-Aki Sakagami

Int. J. Semantic Comput., 2015

A practical classifier for photographs and non-photographic images based on local visual features.

Kei Terayama, Hirohisa Hioki

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Appearance-based multiple fish tracking for collective motion analysis.

Kei Terayama, Koki Hongo, Hitoshi Habe, Masa-Aki Sakagami

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

A Measurement Method for Speed Distribution of Collective Motion with Optical Flow and its Application to Estimation of Rotation Curve.

Kei Terayama, Hirohisa Hioki, Masa-Aki Sakagami

Proceedings of the 2014 IEEE International Symposium on Multimedia, 2014

2013

A Stream Calculus of Bottomed Sequences for Real Number Computation.

Kei Terayama, Hideki Tsuiki

Proceedings of the Twenty-ninth Conference on the Mathematical Foundations of Programming Semantics, 2013