Yohei Kosugi

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 6

Top Topics

Machine Learning

Multiple Sclerosis

Blood Brain Barrier

Top Venues

Molecular pharmaceutics

Journal of medicinal chemistry

The AAPS journal

This page only lists publications with an associated author ORCID identifier.

Publications

Asahi Adachi, Tomoki Yamashita, Shigehiko Kanaya, Yohei Kosugi
Ensemble Machine Learning Approaches Based on Molecular Descriptors and Graph Convolutional Networks for Predicting the Efflux Activities of MDR1 and BCRP Transporters. The AAPS journal 25 (5) (2023)
Michiko Tawada, Makoto Fushimi, Kei Masuda, Huikai Sun, Noriko Uchiyama, Yohei Kosugi, Weston Lane, Richard Tjhen, Satoshi Endo, Tatsuki Koike
Discovery of a Novel and Brain-Penetrant O-GlcNAcase Inhibitor via Virtual Screening, Structure-Based Analysis, and Rational Lead Optimization. Journal of medicinal chemistry 64 (2) (2021)
Yasutaka Hoashi, Takafumi Takai, Yohei Kosugi, Masato Nakashima, Masaharu Nakayama, Keisuke Hirai, Osamu Uchikawa, Tatsuki Koike
Discovery of a Potent and Orally Bioavailable Melatonin Receptor Agonist. Journal of medicinal chemistry 64 (6) (2021)
Yohei Kosugi, Kunihiko Mizuno, Cipriano Santos, Sho Sato, Natalie Hosea, Michael Zientek
Direct Comparison of the Prediction of the Unbound Brain-to-Plasma Partitioning Utilizing Machine Learning Approach and Mechanistic Neuropharmacokinetic Model. The AAPS journal 23 (4) (2021)
Yohei Kosugi, Natalie Hosea
Prediction of Oral Pharmacokinetics Using a Combination of In Silico Descriptors and In Vitro ADME Properties. Molecular pharmaceutics 18 (3) (2021)
Yohei Kosugi, Natalie Hosea
Direct Comparison of Total Clearance Prediction: Computational Machine Learning Model versus Bottom-Up Approach Using In Vitro Assay. Molecular pharmaceutics 17 (7) (2020)