Exploration of Chemical Space Guided by PixelCNN for Fragment-Based De Novo Drug Discovery-Reference-Cited by-同舟云学术

Exploration of Chemical Space Guided by PixelCNN for Fragment-Based De Novo Drug Discovery

Published:2022-12-01 Issue:23 Volume:62 Page:5988-6001
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Noguchi Satoshi¹^ORCID,Inoue Junya²³⁴

Affiliation:

1. Department of Advanced Interdisciplinary Studies, The University of Tokyo, 4-6-1 Komaba, Meguro, Tokyo153-8904, Japan

2. Institute for Industrial Science, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba277-0082, Japan

3. Department of Materials Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo113-8656, Japan

4. Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Meguro, Tokyo153-8904, Japan

Funder

Japan Society for the Promotion of Science

Council for Science, Technology and Innovation

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c01345

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