Please use this identifier to cite or link to this item:
http://111.93.178.142:25000/jspui/handle/123456789/3872Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mohammed M. Alshehri | - |
| dc.date.accessioned | 2026-05-09T05:34:29Z | - |
| dc.date.available | 2026-05-09T05:34:29Z | - |
| dc.date.issued | 2026-05-09 | - |
| dc.identifier.uri | http://111.93.178.142:25000/jspui/handle/123456789/3872 | - |
| dc.description | Vol. 64, No. 3, No. 239 | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Parkinson's disease | en_US |
| dc.subject | APOE | en_US |
| dc.subject | AI Drug Design | en_US |
| dc.subject | Molecular dynamics Simulations | en_US |
| dc.title | Computational Discovery of an AI Driven dexamethasone derivative for parkinson's diseas : network pharmacology, docking and MD Simulation | en_US |
| dc.type | Other | en_US |
| Appears in Collections: | Vol 64, No. 3, 2026 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1.pdf | Vol. 64, No. 3, No. 239 | 208.54 kB | Adobe PDF | View/Open |
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