FLiP-Z by Zimeck: A Python-Based Machine-Learning Tool for Predicting Fungicide-Likeness of Organic Molecules
- DOI
- 10.3390/ijms27177562
- Published
- 2026-08-24
- Container
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ijms27177562,
title = {FLiP-Z by Zimeck: A Python-Based Machine-Learning Tool for Predicting Fungicide-Likeness of Organic Molecules},
author = {Cristian A. Cervantes and Ximena Jaramillo-Fierro and José R. Mora},
year = {2026},
journal = {International Journal of Molecular Sciences},
doi = {10.3390/ijms27177562},
url = {https://doi.org/10.3390/ijms27177562}
}RIS
TY - JOUR TI - FLiP-Z by Zimeck: A Python-Based Machine-Learning Tool for Predicting Fungicide-Likeness of Organic Molecules AU - Cristian A. Cervantes AU - Ximena Jaramillo-Fierro AU - José R. Mora PY - 2026 JO - International Journal of Molecular Sciences DO - 10.3390/ijms27177562 UR - https://doi.org/10.3390/ijms27177562 ER -
APA
Cervantes, C. A., Jaramillo-Fierro, X., & Mora, J. R. (2026). FLiP-Z by Zimeck: A Python-Based Machine-Learning Tool for Predicting Fungicide-Likeness of Organic Molecules. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms27177562
Source records
- crossref · retrieved 2026-09-26T05:09:49.939Z