TREADS: Target Research for Anti-epileptic Drugs Using Data Science.
Journal
Neurology India
ISSN: 1998-4022
Titre abrégé: Neurol India
Pays: India
ID NLM: 0042005
Informations de publication
Date de publication:
01 May 2024
01 May 2024
Historique:
received:
15
03
2021
accepted:
09
03
2022
medline:
23
7
2024
pubmed:
23
7
2024
entrez:
23
7
2024
Statut:
ppublish
Résumé
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. Text mining approaches are used to extract data from multiple biological sources. The data is curated and populated within an in-house developed epilepsy database. Machine-learning based models are built in-house to know the probability of a protein being druggable based on the significant protein features. A web interface is provided for the access of the epilepsy database as well as the ML-based tool developed in-house. The epilepsy-associated data is made accessible through a web browser. For a protein of interest, the platform provides all the feature values, and the results generated using different machine learning models are displayed as visualization plots. To meet these objectives, we present TREADS, a platform for epilepsy research community, having both database and an ML-based tool for the study of AED targets. https://treads-aer.cdacb.in.
Identifiants
pubmed: 39041983
doi: 10.4103/neuroindia.NI_261_21
pii: 02223311-202405000-00026
doi:
Substances chimiques
Anticonvulsants
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
620-625Informations de copyright
Copyright © 2024 Copyright: © 2024 Neurology India, Neurological Society of India.
Références
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