Machine learning-guided QSAR screening of fluconazole analogs and FDA-approved drugs against Candida albicans, with docking, molecular dynamics, and ADMET analysis.
- DOI
- 10.1007/s11030-026-11621-3
- Published
- 2026 Aug 7
- Container
- Molecular diversity
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s11030-026-11621-3,
title = {Machine learning-guided QSAR screening of fluconazole analogs and FDA-approved drugs against Candida albicans, with docking, molecular dynamics, and ADMET analysis.},
author = {Daudo HA and Marinho ES and de Oliveira VM and Marinho MM and Ribeiro RV},
year = {2026},
journal = {Molecular diversity},
doi = {10.1007/s11030-026-11621-3},
url = {https://doi.org/10.1007/s11030-026-11621-3}
}RIS
TY - JOUR TI - Machine learning-guided QSAR screening of fluconazole analogs and FDA-approved drugs against Candida albicans, with docking, molecular dynamics, and ADMET analysis. AU - Daudo HA AU - Marinho ES AU - de Oliveira VM AU - Marinho MM AU - Ribeiro RV PY - 2026 JO - Molecular diversity DO - 10.1007/s11030-026-11621-3 UR - https://doi.org/10.1007/s11030-026-11621-3 ER -
APA
HA, D., ES, M., VM, D. O., MM, M., & RV, R. (2026). Machine learning-guided QSAR screening of fluconazole analogs and FDA-approved drugs against Candida albicans, with docking, molecular dynamics, and ADMET analysis.. Molecular diversity. https://doi.org/10.1007/s11030-026-11621-3
Source records
- pubmed · retrieved 2026-09-26T11:40:22.676Z