Gene Prioritization in Parkinson's Disease Using Human Protein-Protein Interaction Network.


Journal

Journal of computational biology : a journal of computational molecular cell biology
ISSN: 1557-8666
Titre abrégé: J Comput Biol
Pays: United States
ID NLM: 9433358

Informations de publication

Date de publication:
11 2020
Historique:
pubmed: 29 4 2020
medline: 27 10 2021
entrez: 29 4 2020
Statut: ppublish

Résumé

Parkinson's disease (PD) is the second-most common neurodegenerative disorder, and the actual cause of this disease is still unknown. Identifying the target genes that are associated with disease plays an essential role in the treatment of PD. Various genetic studies have determined the significant target genes for disease progression, although this continues to be challenging in the field of drug designing. In this study, we proposed a network-based approach to identify target genes for PD using gene mutation, gene expression, and gene deletion analysis. The subnetwork of PD genes was constructed from human protein-protein interaction network, and the potential genes were identified using network centrality measures. Two genes,

Identifiants

pubmed: 32343917
doi: 10.1089/cmb.2019.0281
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1610-1621

Auteurs

Rutvi Prajapati (R)

Bioinformatics Programming Laboratory, Department of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Isaac Arnold Emerson (IA)

Bioinformatics Programming Laboratory, Department of Biotechnology, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

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Classifications MeSH