Identification of Alzheimer’s Disease Hub Genes Based on Improved HITS Algorithm

• Published in: Journal of Kufa for Mathematics and Computer 2024-03, Vol.11 (1), p.25-31
• Main Authors: Kadhim, Dr.Qusay Kanaan, Abd ul kader, Rasha Mahdi, Altameemi, Atyaf ismaeel, Mohammed, Rana jassim
• Format: Article
• Language: English
• ISSN: 2076-1171; 2518-0010
• DOI: 10.31642/JoKMC/2018/110105

Alzheimer's disease is a severe, neurodegenerative condition that gradually breaks memories, thinking abilities, and the ability to carry out even the most basic tasks. The hub genes of AD were examined in this study. They understand how interactions between proteins and non-protein substances are crucial to understanding how proteins work. Network investigations of protein-protein interactions, in particular, help understand biological issues. This article offers a novel approach to identifying essential proteins using weighted PPI networks and Hyperlink-Induced Topic Search (HITS) algorithm. We discovered the top 10 hub genes linked to AD using a protein network analysis: AKT1, TGFB1, GRB2, NFKB1, PIK3CA, PIK3R1, TNF, IFNG, VEGFA, and TP53. It was discovered by gene enrichment that most gene activities might be categorized as vital to the plasma membrane, including engagement in signaling cascades, G-protein composite reliability activation, and cell contact. The prioritized genes were determined by the convergent functional genomics ranking AKT1, TGFB1, GRB2, NFKB1, PIK3CA, PIK3R1, TNF, IFNG, VEGFA, and TP53. To better understand AD pathophysiology and find new biomarkers or medication targets for AD treatment, these molecular pathways hub genes will be helpful.