Tomohide Masuda

According to our database, Tomohide Masuda authored at least 6 papers between 2020 and 2021.

Collaborative distances:

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

2021

GNINA 1.0: molecular docking with deep learning.

Andrew T. McNutt, Paul G. Francoeur, Rishal Aggarwal, Tomohide Masuda, Rocco Meli, Matthew Ragoza, Jocelyn Sunseri, David Ryan Koes

J. Cheminformatics, 2021

Generating 3D Molecules Conditional on Receptor Binding Sites with Deep Generative Models.

Matthew Ragoza, Tomohide Masuda, David Ryan Koes

CoRR, 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

Three-Dimensional Convolutional Neural Networks and a Cross-Docked Data Set for Structure-Based Drug Design.

Paul G. Francoeur, Tomohide Masuda, Jocelyn Sunseri, Andrew Jia, Richard B. Iovanisci, Ian Snyder, David Ryan Koes

J. Chem. Inf. Model., 2020

Generating 3D Molecular Structures Conditional on a Receptor Binding Site with Deep Generative Models.

Tomohide Masuda, Matthew Ragoza, David Ryan Koes

CoRR, 2020

Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models.

Matthew Ragoza, Tomohide Masuda, David Ryan Koes

CoRR, 2020