Multi-tiered in silico evaluation identifies Sarsasapogenin as a promising ERα-targeted phytochemical against breast cancer.
- DOI
- 10.1016/j.jmgm.2026.109580
- Published
- 2026 Sep 16
- Container
- Journal of molecular graphics & modelling
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmgm.2026.109580,
title = {Multi-tiered in silico evaluation identifies Sarsasapogenin as a promising ERα-targeted phytochemical against breast cancer.},
author = {Sy TD and Tu TQ and Nguyen NTT and Vu TTT and Nguyen HD and Chu MH},
year = {2026},
journal = {Journal of molecular graphics \& modelling},
doi = {10.1016/j.jmgm.2026.109580},
url = {https://doi.org/10.1016/j.jmgm.2026.109580}
}RIS
TY - JOUR TI - Multi-tiered in silico evaluation identifies Sarsasapogenin as a promising ERα-targeted phytochemical against breast cancer. AU - Sy TD AU - Tu TQ AU - Nguyen NTT AU - Vu TTT AU - Nguyen HD AU - Chu MH PY - 2026 JO - Journal of molecular graphics & modelling DO - 10.1016/j.jmgm.2026.109580 UR - https://doi.org/10.1016/j.jmgm.2026.109580 ER -
APA
TD, S., TQ, T., NTT, N., TTT, V., HD, N., & MH, C. (2026). Multi-tiered in silico evaluation identifies Sarsasapogenin as a promising ERα-targeted phytochemical against breast cancer.. Journal of molecular graphics & modelling. https://doi.org/10.1016/j.jmgm.2026.109580
Source records
- pubmed · retrieved 2026-09-26T00:51:24.723Z