Exploring Alzheimer's Disease: Computational Analysis of Alzheimer’s Disease-Related Biomarkers for Insightful Discoveries

Alzheimer’s disease (AD) is the most common and progressive type of brain disorder that affects parts of the brain responsible for memory, speaking, thinking, and many other important functions. Early studies have revealed numerous genetic mutations such as single nucleotide polymorphisms (SNPs) associated with not only AD but other diseases such as Parkinson’s disease, stroke, and multiple sclerosis. Therefore, SNPs specific to AD only are unknown and require more research to better understand the prognosis and diagnosis of the disease. In this research, we utilized multiple computational tools and database servers to analyze specific missense SNPs and their potential effects on protein structure and stability. Three genes, including ATP8B4, UBXN11, and TREM2, were found to be deleterious and are potentially linked to AD. Amino acid changes associated with these genes were found to affect their interactions, which are connected to specific biological processes and pathways that may trigger AD.