PhytoExtractQSAR: An Automated Bioprocess Informatics Pipeline for Literature-Mined Prediction of Phytochemical Extraction Outcomes in Food Processing — Dataset Assembly, Machine Learning Benchmark, and the Plant Matrix Challenge in Cross-Compound Generalization
- DOI
- 10.5281/zenodo.18779392
- Published
- 2026
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- Zenodo
- Open access
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BibTeX
@article{allodium:10.5281/zenodo.18779392,
title = {PhytoExtractQSAR: An Automated Bioprocess Informatics Pipeline for Literature-Mined Prediction of Phytochemical Extraction Outcomes in Food Processing — Dataset Assembly, Machine Learning Benchmark, and the Plant Matrix Challenge in Cross-Compound Generalization},
author = {Mohamedali, Sharhabil and Yousef, Mokhtar Ibrahim and Saleh, Passant Ahmed},
year = {2026},
doi = {10.5281/zenodo.18779392},
url = {https://doi.org/10.5281/zenodo.18779392}
}RIS
TY - JOUR TI - PhytoExtractQSAR: An Automated Bioprocess Informatics Pipeline for Literature-Mined Prediction of Phytochemical Extraction Outcomes in Food Processing — Dataset Assembly, Machine Learning Benchmark, and the Plant Matrix Challenge in Cross-Compound Generalization AU - Mohamedali, Sharhabil AU - Yousef, Mokhtar Ibrahim AU - Saleh, Passant Ahmed PY - 2026 DO - 10.5281/zenodo.18779392 UR - https://doi.org/10.5281/zenodo.18779392 ER -
APA
Sharhabil, M., Ibrahim, Y. M., & Ahmed, S. P. (2026). PhytoExtractQSAR: An Automated Bioprocess Informatics Pipeline for Literature-Mined Prediction of Phytochemical Extraction Outcomes in Food Processing — Dataset Assembly, Machine Learning Benchmark, and the Plant Matrix Challenge in Cross-Compound Generalization. https://doi.org/10.5281/zenodo.18779392