Molecular Design Learned from the Natural Product Porphyra-334: Molecular Generation via Chemical Variational Autoencoder versus Database Mining via Similarity Search, A Comparative Study-Reference-Cited by-同舟云学术

Molecular Design Learned from the Natural Product Porphyra-334: Molecular Generation via Chemical Variational Autoencoder versus Database Mining via Similarity Search, A Comparative Study

Published:2022-03-02 Issue:10 Volume:7 Page:8581-8590
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Harada Yuki¹,Hatakeyama Makoto¹²,Maeda Shuichi¹,Gao Qi³,Koizumi Kenichi¹,Sakamoto Yuki¹^ORCID,Ono Yuuki³,Nakamura Shinichiro¹^ORCID

Affiliation:

1. Cluster for Science, Technology, and Innovation Hub, Nakamura Laboratory, RIKEN, 2-1, Hirosawa, Wako, Saitama 351-0198, Japan

2. Sanyo-Onoda City University, 1-1-1 Daigakudori, Sanyo-Onoda, Yamaguchi 756-0884, Japan

3. Mitsubishi Chemical Corporation Science & Innovation Center 1000 Kamoshida-cho, Yokohama, Kanagawa 227-8502, Japan

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c06453

Reference54 articles.

1. Unravelling the Photoprotective Mechanisms of Nature-Inspired Ultraviolet Filters Using Ultrafast Spectroscopy

2. Mycosporine-Like Amino Acids (MAAs): Biology, Chemistry and Identification Features

3. Mycosporine-Like Amino Acids for Skin Photoprotection

4. Photostability via a Sloped Conical Intersection: A CASSCF and RASSCF Study of Pyracylene

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