Teruki Honma

发表

Prediction of Human Liver Microsomal Stability with Machine Learning

Yojiro Sakiyama, Hitomi Yuki, Teruki Honma, 2008, IC-AI.

An Applicable Platform for Web Interactive Content Hapticization

Makoto Sato, Teruki Honma, Wei Yu Chen, 2014 .

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

Hitomi Yuki, Teruki Honma, Daisuke Takaya, 2013, J. Chem. Inf. Model..

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

Teruki Honma, Shigeyuki Yokoyama, Tomohiro Sato, 2010, J. Chem. Inf. Model..

Population-based de novo molecule generation, using grammatical evolution

Koji Tsuda, Kenta Oono, Teruki Honma, 2018, 1804.02134.

Practical Applications of in silico Screening Using Informatics and Simulation

Teruki Honma, 2017 .

SPIDAR-if: A Joint User Interface Approach for Hapticised Web Content and Augment Reality Enhancement

Makoto Sato, Yen-Ming Chu, Teruki Honma, 2016 .

Recent advances in de novo design strategy for practical lead identification

Teruki Honma, T. Honma, 2003, Medicinal research reviews.

Predicting human liver microsomal stability with machine learning techniques.

Yojiro Sakiyama, Hitomi Yuki, Teruki Honma, 2008, Journal of molecular graphics & modelling.

Towards a system combining ADMET prediction AI and de novo structure generation AI

Teruki Honma, 2020 .

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

Hitomi Yuki, Teruki Honma, Daisuke Takaya, 2012, J. Chem. Inf. Model..