In silico identification of DNMT1 inhibitors from the PlantCyc database through computational approach to assess the anti-cancer potential of nutraceutical compounds in breast cancer.
- DOI
- 10.1016/j.jmgm.2026.109495
- Published
- 2026-06-20
- Container
- J Mol Graph Model
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmgm.2026.109495,
title = {In silico identification of DNMT1 inhibitors from the PlantCyc database through computational approach to assess the anti-cancer potential of nutraceutical compounds in breast cancer.},
author = {Parashar R and Taneja P.},
year = {2026},
journal = {J Mol Graph Model},
doi = {10.1016/j.jmgm.2026.109495},
url = {https://doi.org/10.1016/j.jmgm.2026.109495}
}RIS
TY - JOUR TI - In silico identification of DNMT1 inhibitors from the PlantCyc database through computational approach to assess the anti-cancer potential of nutraceutical compounds in breast cancer. AU - Parashar R AU - Taneja P. PY - 2026 JO - J Mol Graph Model DO - 10.1016/j.jmgm.2026.109495 UR - https://doi.org/10.1016/j.jmgm.2026.109495 ER -
APA
R, P., & P., T. (2026). In silico identification of DNMT1 inhibitors from the PlantCyc database through computational approach to assess the anti-cancer potential of nutraceutical compounds in breast cancer.. J Mol Graph Model. https://doi.org/10.1016/j.jmgm.2026.109495
Source records
- europe-pmc · retrieved 2026-09-25T13:57:59.060Z