Integrated virtual screening, molecular modeling and machine learning approaches revealed potential natural inhibitors for epilepsy.

Authors:
Alshehri FF.

Journal:
Saudi Pharm J

Publication Year: 2023

DOI:
10.1016/j.jsps.2023.101835

PMCID:
PMC10641561

PMID:
37965486

Journal Information

Full Title: Saudi Pharm J

Abbreviation: Saudi Pharm J

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Pharmacology & Pharmacy

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Evidence found in paper:

"appendix a supplementary material the following are the supplementary data to this article: supplementary data 1 table s1 : details of the 56 active molecules against the s100b protein target in epilepsy including smiles notation binary activity labels and extracted features.; supplementary data 2 table s1 : training set data including smiles notation binary activity labels and extracted features for each molecule after preprocessing.; supplementary data 3 table s1 : test set data comprising smiles notation binary activity labels and extracted features for each molecule after preprocessing.; supplementary data 4 main code for using random forest model."

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Evidence found in paper:

"Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper."

Evidence found in paper:

"The author would like to thank the Deanship of Scientific Research at 10.13039/501100007470Shaqra University for supporting this work."

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Open Access
Paper is freely available to read
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Last Updated: Aug 05, 2025