AI-assisted molecular design of quinolone alkaloid analogues as pancreatic lipase inhibitor candidates
- DOI
- 10.1051/bioconf/202623202001
- Published
- 2026
- Container
- BIO Web of Conferences
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1051/bioconf/202623202001,
title = {AI-assisted molecular design of quinolone alkaloid analogues as pancreatic lipase inhibitor candidates},
author = {Suzuki Hayato and Noguchi Yoh and Watanabe Kaito and Ying Chiawen and Nakajima Motokuni and Morikawa Ryota and Matsuo Yukiko and Takasu Masako},
year = {2026},
journal = {BIO Web of Conferences},
doi = {10.1051/bioconf/202623202001},
url = {https://doi.org/10.1051/bioconf/202623202001}
}RIS
TY - JOUR TI - AI-assisted molecular design of quinolone alkaloid analogues as pancreatic lipase inhibitor candidates AU - Suzuki Hayato AU - Noguchi Yoh AU - Watanabe Kaito AU - Ying Chiawen AU - Nakajima Motokuni AU - Morikawa Ryota AU - Matsuo Yukiko AU - Takasu Masako PY - 2026 JO - BIO Web of Conferences DO - 10.1051/bioconf/202623202001 UR - https://doi.org/10.1051/bioconf/202623202001 ER -
APA
Hayato, S., Yoh, N., Kaito, W., Chiawen, Y., Motokuni, N., Ryota, M., Yukiko, M., & Masako, T. (2026). AI-assisted molecular design of quinolone alkaloid analogues as pancreatic lipase inhibitor candidates. BIO Web of Conferences. https://doi.org/10.1051/bioconf/202623202001
Source records
- doaj · retrieved 2026-09-25T05:28:35.993Z