Janaki, Chintalapati and Arvind, Kumar and Hosur, Madhusoodan Vijayacharya and Supriya N, Pal
(2024)
TREADS: Target Research for Anti-epileptic Drugs Using Data Science.
Neurology India, 72 (3).
pp. 620-625.
| Abstract: |
Epilepsy is a common neurological disease and is classified into different types based on features such as the kind of seizure, age of onset, part of brain effected, etc. There are nearly 30 approved anti-epileptic drugs (AEDs) for treating different epilepsies and each drug targets proteins exhibiting a specific molecular mechanism of action. There are many genes, proteins, and microRNAs known to be associated with different epileptic disorders. This rich information on epilepsy-associated data is not available at one single location and is scattered across multiple publicly available repositories. There is a need to have a single platform integrated with the data, as well as tools required for epilepsy research. |
| Item Type: |
Journal Paper
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| Subjects: |
School of Natural and Engineering Sciences > Others |
| Divisions: |
Schools > Natural Sciences and Engineering |
| Date Deposited: |
04 Dec 2024 09:09 |
| Last Modified: |
04 Dec 2024 11:31 |
| Official URL: |
https://journals.lww.com/neur/fulltext/2024/05000/... |
| Related URLs: |
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| Funders: |
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| Projects: |
* |
| DOI: |
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| URI: |
http://eprints.nias.res.in/id/eprint/2822 |
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