Chisato Kanai - Search Results

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Year	Number of Results
2006	1
2020	1
2021	3
2022	0

Page 1

Computational Prediction of Compound-Protein Interactions for Orphan Targets Using CGBVS.

Kanai C, Kawasaki E, Murakami R, Morita Y, Yoshimori A. Kanai C, et al. Molecules. 2021 Aug 24;26(17):5131. doi: 10.3390/molecules26175131. Molecules. 2021. PMID: 34500569 Free PMC article.

Discovery of Novel eEF2K Inhibitors Using HTS Fingerprint Generated from Predicted Profiling of Compound-Protein Interactions.

Yoshimori A, Kawasaki E, Murakami R, Kanai C. Yoshimori A, et al. Among authors: kanai c. Medicines (Basel). 2021 May 20;8(5):23. doi: 10.3390/medicines8050023. Medicines (Basel). 2021. PMID: 34065377 Free PMC article.

Design and Synthesis of DDR1 Inhibitors with a Desired Pharmacophore Using Deep Generative Models.

Yoshimori A, Asawa Y, Kawasaki E, Tasaka T, Matsuda S, Sekikawa T, Tanabe S, Neya M, Natsugari H, Kanai C. Yoshimori A, et al. Among authors: kanai c. ChemMedChem. 2021 Mar 18;16(6):955-958. doi: 10.1002/cmdc.202000786. Epub 2021 Jan 15. ChemMedChem. 2021. PMID: 33289306 Free PMC article.

Strategies for Design of Molecular Structures with a Desired Pharmacophore Using Deep Reinforcement Learning.

Yoshimori A, Kawasaki E, Kanai C, Tasaka T. Yoshimori A, et al. Among authors: kanai c. Chem Pharm Bull (Tokyo). 2020;68(3):227-233. doi: 10.1248/cpb.c19-00625. Chem Pharm Bull (Tokyo). 2020. PMID: 32115529 Free article.

A virtual active compound produced from the negative image of a ligand-binding pocket, and its application to in-silico drug screening.

Fukunishi Y, Kubota S, Kanai C, Nakamura H. Fukunishi Y, et al. Among authors: kanai c. J Comput Aided Mol Des. 2006 Apr;20(4):237-48. doi: 10.1007/s10822-006-9047-1. Epub 2006 Jun 21. J Comput Aided Mol Des. 2006. PMID: 16897580

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