Computational analysis of liver inflammation related genes in Human (Homo sapiens)

This study employs computational analysis to identify and characterize liver inflammation-related genes in humans. Focusing on five genes (MAPK1, ITGA2, CDK2, IL6, and OAS2), the research includes gene sequence retrieval (NCBI), chromosomal mapping, gene structure prediction, motif analysis, protein-protein interaction networks, and gene ontology annotation. The analysis reveals that these genes are randomly distributed across chromosomes and are involved in key biological processes related to liver inflammation. Protein-protein interaction analysis identifies ITGA2 as a central gene with high interaction degrees. Gene ontology results show IL6 and OAS2 significant roles in the defense response to viruses. The findings offer insights into liver inflammation mechanisms and suggest potential biomarkers for early disease monitoring and therapeutic strategies. Further experimental validation is needed to confirm these computational predictions.