Integrated machine learning and in vitro pipeline for TRPA1-active chemesthetic flavor compounds: From predictive screening to molecular mechanisms
- DOI
- 10.1016/j.crfs.2026.101611
- Published
- 2026
- Container
- Current Research in Food Science
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.crfs.2026.101611,
title = {Integrated machine learning and in vitro pipeline for TRPA1-active chemesthetic flavor compounds: From predictive screening to molecular mechanisms},
author = {Xiaoming Wen and Qidong Zhang and Shan Wang and Qingzhao Shi and Jingtao Wang and Wu Fan and Shaokang Guan and Guobi Chai},
year = {2026},
journal = {Current Research in Food Science},
doi = {10.1016/j.crfs.2026.101611},
url = {https://doi.org/10.1016/j.crfs.2026.101611}
}RIS
TY - JOUR TI - Integrated machine learning and in vitro pipeline for TRPA1-active chemesthetic flavor compounds: From predictive screening to molecular mechanisms AU - Xiaoming Wen AU - Qidong Zhang AU - Shan Wang AU - Qingzhao Shi AU - Jingtao Wang AU - Wu Fan AU - Shaokang Guan AU - Guobi Chai PY - 2026 JO - Current Research in Food Science DO - 10.1016/j.crfs.2026.101611 UR - https://doi.org/10.1016/j.crfs.2026.101611 ER -
APA
Wen, X., Zhang, Q., Wang, S., Shi, Q., Wang, J., Fan, W., Guan, S., & Chai, G. (2026). Integrated machine learning and in vitro pipeline for TRPA1-active chemesthetic flavor compounds: From predictive screening to molecular mechanisms. Current Research in Food Science. https://doi.org/10.1016/j.crfs.2026.101611
Source records
- crossref · retrieved 2026-11-10T12:27:37.496Z