AOXP: An Integrated Framework for Antioxidant Peptide Prediction Leveraging LLM-Based Semantic Features and Optimized Physicochemical Ensembles
- DOI
- 10.1021/acsomega.6c07491
- Published
- 2026-10-21
- Container
- ACS Omega
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acsomega.6c07491,
title = {AOXP: An Integrated
Framework for Antioxidant Peptide
Prediction Leveraging LLM-Based Semantic Features and Optimized Physicochemical
Ensembles},
author = {Leilei Zhang and Zhongao Lu and Xiaofei Zhou and Lu Liang and Jianping Lin},
year = {2026},
journal = {ACS Omega},
doi = {10.1021/acsomega.6c07491},
url = {https://doi.org/10.1021/acsomega.6c07491}
}RIS
TY - JOUR TI - AOXP: An Integrated Framework for Antioxidant Peptide Prediction Leveraging LLM-Based Semantic Features and Optimized Physicochemical Ensembles AU - Leilei Zhang AU - Zhongao Lu AU - Xiaofei Zhou AU - Lu Liang AU - Jianping Lin PY - 2026 JO - ACS Omega DO - 10.1021/acsomega.6c07491 UR - https://doi.org/10.1021/acsomega.6c07491 ER -
APA
Zhang, L., Lu, Z., Zhou, X., Liang, L., & Lin, J. (2026). AOXP: An Integrated Framework for Antioxidant Peptide Prediction Leveraging LLM-Based Semantic Features and Optimized Physicochemical Ensembles. ACS Omega. https://doi.org/10.1021/acsomega.6c07491
Source records
- crossref · retrieved 2026-11-07T05:34:44.638Z