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

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Sharhabil Mohamedali, Mokhtar Ibrahim Yousef, Passant Ahmed Saleh
DOI: 10.5281/zenodo.18779392
Cited by: 0

Abstract

Automated cheminformatics pipeline for literature-mined QSAR modeling of phytochemical extraction outcomes

Fields of Study & Subjects

Computational Drug Discovery Methods Machine Learning in Materials Science Phytochemicals and Antioxidant Activities

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN