E
Enzo Kawasaki
Publications - 4
Citations - 30
Enzo Kawasaki is an academic researcher. The author has contributed to research in topics: Virtual screening & Pharmacophore. The author has an hindex of 2, co-authored 4 publications receiving 13 citations.
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Journal ArticleDOI
Design and Synthesis of DDR1 Inhibitors with a Desired Pharmacophore Using Deep Generative Models.
Atsushi Yoshimori,Yasunobu Asawa,Enzo Kawasaki,Tomohiko Tasaka,Matsuda Seiji,Toru Sekikawa,Satoshi Tanabe,Masahiro Neya,Hideaki Natsugari,Chisato Kanai +9 more
TL;DR: The synthesis and inhibitory activity of compounds generated from DGMs designed using deep generative models with a desired pharmacophore derived from a known DDR1 inhibitor were described.
Journal ArticleDOI
Strategies for Design of Molecular Structures with a Desired Pharmacophore Using Deep Reinforcement Learning.
TL;DR: To extract selective molecules against a target protein, chemical genomics-based virtual screening (CGBVS) is used as post-processing method of deep reinforcement learning for generating molecular structures with a desired pharmacophore.
Journal ArticleDOI
Discovery of Novel eEF2K Inhibitors Using HTS Fingerprint Generated from Predicted Profiling of Compound-Protein Interactions.
TL;DR: In this article, the identification of novel eukaryotic elongation factor 2 kinase (eEF2K) inhibitors using high-throughput screening fingerprints (HTSFP) generated from predicted profiling of compound-protein interactions (CPIs).
Journal ArticleDOI
Computational Prediction of Compound–Protein Interactions for Orphan Targets Using CGBVS
TL;DR: In this article, a chemical genomics-based virtual screening (CGBVS) technique was used to identify ligands for targets without ligand information (orphan targets) using data from G protein-coupled receptor (GPCR) families.