Deep Learning-Driven Identification and Experimental Validation of COX-2 and ERK1/2 as Anti-Inflammatory Targets of Avenanthramides
- DOI
- 10.3390/nu18203339
- Published
- 2026-10-12
- Container
- Nutrients
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/nu18203339,
title = {Deep Learning-Driven Identification and Experimental Validation of COX-2 and ERK1/2 as Anti-Inflammatory Targets of Avenanthramides},
author = {Jingjie Zhang and Tengyu Li and Chi Yan and Zeran Wang and Zhiyao Zhao and Yonghui Yu and Ding Wang},
year = {2026},
journal = {Nutrients},
doi = {10.3390/nu18203339},
url = {https://doi.org/10.3390/nu18203339}
}RIS
TY - JOUR TI - Deep Learning-Driven Identification and Experimental Validation of COX-2 and ERK1/2 as Anti-Inflammatory Targets of Avenanthramides AU - Jingjie Zhang AU - Tengyu Li AU - Chi Yan AU - Zeran Wang AU - Zhiyao Zhao AU - Yonghui Yu AU - Ding Wang PY - 2026 JO - Nutrients DO - 10.3390/nu18203339 UR - https://doi.org/10.3390/nu18203339 ER -
APA
Zhang, J., Li, T., Yan, C., Wang, Z., Zhao, Z., Yu, Y., & Wang, D. (2026). Deep Learning-Driven Identification and Experimental Validation of COX-2 and ERK1/2 as Anti-Inflammatory Targets of Avenanthramides. Nutrients. https://doi.org/10.3390/nu18203339
Source records
- crossref · retrieved 2026-11-05T18:10:15.924Z