Integrated virtual screening, molecular modeling and machine learning approaches revealed potential natural inhibitors for epilepsy.
- DOI
- 10.1016/j.jsps.2023.101835
- Published
- 2023 Dec
- Container
- Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society
- 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:10.1016/j.jsps.2023.101835,
title = {Integrated virtual screening, molecular modeling and machine learning approaches revealed potential natural inhibitors for epilepsy.},
author = {Alshehri FF},
year = {2023},
journal = {Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society},
doi = {10.1016/j.jsps.2023.101835},
url = {https://doi.org/10.1016/j.jsps.2023.101835}
}RIS
TY - JOUR TI - Integrated virtual screening, molecular modeling and machine learning approaches revealed potential natural inhibitors for epilepsy. AU - Alshehri FF PY - 2023 JO - Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society DO - 10.1016/j.jsps.2023.101835 UR - https://doi.org/10.1016/j.jsps.2023.101835 ER -
APA
FF, A. (2023). Integrated virtual screening, molecular modeling and machine learning approaches revealed potential natural inhibitors for epilepsy.. Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society. https://doi.org/10.1016/j.jsps.2023.101835
Source records
- pubmed · retrieved 2026-11-10T10:19:42.625Z