SN-PepDB: a deep learning-driven database for characterizing Sipunculus nudus bioactive peptides and their structure-activity relationships
- DOI
- 10.1016/j.foodres.2026.120951
- Published
- 2026-12
- Container
- Food Research International
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodres.2026.120951,
title = {SN-PepDB: a deep learning-driven database for characterizing Sipunculus nudus bioactive peptides and their structure-activity relationships},
author = {Yi Zhang and Guandi Qin and Le Jiang and Zhiyou Yang and Zhongqin Chen and Meicai Yue and Chongpeng Gu and Longjian Zhou},
year = {2026},
journal = {Food Research International},
doi = {10.1016/j.foodres.2026.120951},
url = {https://doi.org/10.1016/j.foodres.2026.120951}
}RIS
TY - JOUR TI - SN-PepDB: a deep learning-driven database for characterizing Sipunculus nudus bioactive peptides and their structure-activity relationships AU - Yi Zhang AU - Guandi Qin AU - Le Jiang AU - Zhiyou Yang AU - Zhongqin Chen AU - Meicai Yue AU - Chongpeng Gu AU - Longjian Zhou PY - 2026 JO - Food Research International DO - 10.1016/j.foodres.2026.120951 UR - https://doi.org/10.1016/j.foodres.2026.120951 ER -
APA
Zhang, Y., Qin, G., Jiang, L., Yang, Z., Chen, Z., Yue, M., Gu, C., & Zhou, L. (2026). SN-PepDB: a deep learning-driven database for characterizing Sipunculus nudus bioactive peptides and their structure-activity relationships. Food Research International. https://doi.org/10.1016/j.foodres.2026.120951
Source records
- crossref · retrieved 2026-11-05T12:26:36.930Z