Machine learning and molecular simulations reveal a prenyl plant flavonoid as a potent Bcl-2 inhibitor in cancer therapy.
- DOI
- 10.1007/s40203-026-00662-z
- Published
- 2026
- Container
- In silico pharmacology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s40203-026-00662-z,
title = {Machine learning and molecular simulations reveal a prenyl plant flavonoid as a potent Bcl-2 inhibitor in cancer therapy.},
author = {Tondar A and Bepari AK and Reza HM and Liñán LC and Hervás-Marín D},
year = {2026},
journal = {In silico pharmacology},
doi = {10.1007/s40203-026-00662-z},
url = {https://doi.org/10.1007/s40203-026-00662-z}
}RIS
TY - JOUR TI - Machine learning and molecular simulations reveal a prenyl plant flavonoid as a potent Bcl-2 inhibitor in cancer therapy. AU - Tondar A AU - Bepari AK AU - Reza HM AU - Liñán LC AU - Hervás-Marín D PY - 2026 JO - In silico pharmacology DO - 10.1007/s40203-026-00662-z UR - https://doi.org/10.1007/s40203-026-00662-z ER -
APA
A, T., AK, B., HM, R., LC, L., & D, H. (2026). Machine learning and molecular simulations reveal a prenyl plant flavonoid as a potent Bcl-2 inhibitor in cancer therapy.. In silico pharmacology. https://doi.org/10.1007/s40203-026-00662-z
Source records
- pubmed · retrieved 2026-09-26T03:07:00.729Z