Systems pharmacology reveals the molecular mechanisms of nerolidol against polycystic ovary syndrome through integrated transcriptomic, network pharmacology and experimental validation
- DOI
- 10.1016/j.gene.2026.150455
- Published
- 2027-01
- Container
- Gene
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.gene.2026.150455,
title = {Systems pharmacology reveals the molecular mechanisms of nerolidol against polycystic ovary syndrome through integrated transcriptomic, network pharmacology and experimental validation},
author = {G. Santhana Kumar and Arun Soni and Nirupam Pattanayak and Fomba Morie and Lalji H. baldaniya},
year = {2027},
journal = {Gene},
doi = {10.1016/j.gene.2026.150455},
url = {https://doi.org/10.1016/j.gene.2026.150455}
}RIS
TY - JOUR TI - Systems pharmacology reveals the molecular mechanisms of nerolidol against polycystic ovary syndrome through integrated transcriptomic, network pharmacology and experimental validation AU - G. Santhana Kumar AU - Arun Soni AU - Nirupam Pattanayak AU - Fomba Morie AU - Lalji H. baldaniya PY - 2027 JO - Gene DO - 10.1016/j.gene.2026.150455 UR - https://doi.org/10.1016/j.gene.2026.150455 ER -
APA
Kumar, G. S., Soni, A., Pattanayak, N., Morie, F., & baldaniya, L. H. (2027). Systems pharmacology reveals the molecular mechanisms of nerolidol against polycystic ovary syndrome through integrated transcriptomic, network pharmacology and experimental validation. Gene. https://doi.org/10.1016/j.gene.2026.150455
Source records
- crossref · retrieved 2026-11-04T17:23:18.649Z