Network Pharmacology and Machine Learning Identify Flavonoids as Potential Senotherapeutics
- DOI
- 10.3390/ph18081176
- Published
- 2025-08-09
- Container
- Pharmaceuticals
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ph18081176,
title = {Network Pharmacology and Machine Learning Identify Flavonoids as Potential Senotherapeutics},
author = {Jose Alberto Santiago-de-la-Cruz and Nadia Alejandra Rivero-Segura and María Elizbeth Alvarez-Sánchez and Juan Carlos Gomez-Verjan},
year = {2025},
journal = {Pharmaceuticals},
doi = {10.3390/ph18081176},
url = {https://doi.org/10.3390/ph18081176}
}RIS
TY - JOUR TI - Network Pharmacology and Machine Learning Identify Flavonoids as Potential Senotherapeutics AU - Jose Alberto Santiago-de-la-Cruz AU - Nadia Alejandra Rivero-Segura AU - María Elizbeth Alvarez-Sánchez AU - Juan Carlos Gomez-Verjan PY - 2025 JO - Pharmaceuticals DO - 10.3390/ph18081176 UR - https://doi.org/10.3390/ph18081176 ER -
APA
Santiago-de-la-Cruz, J. A., Rivero-Segura, N. A., Alvarez-Sánchez, M. E., & Gomez-Verjan, J. C. (2025). Network Pharmacology and Machine Learning Identify Flavonoids as Potential Senotherapeutics. Pharmaceuticals. https://doi.org/10.3390/ph18081176
Source records
- crossref · retrieved 2026-09-25T08:25:22.225Z