Uncovering Molecular Mechanisms of Drug Resistance via Network-Constrained Common Structure Identification.

Uncovering mechanisms of acquired drug resistance has garnered increasing attention worldwide as drug resistance reduces antibiotic and chemotherapy effectiveness. Most bioinformatics studies have elucidated these mechanisms based on differentially expressed gene (DEG) analysis. However, considering the associated complex network of biological systems, the specific molecular interactions must also be studied to obtain a complete understanding of the mechanisms related to drug resistance. Accordingly, by analyzing sample-specific gene networks, we sought to elucidate mechanisms of acquired drug resistance of cells based on molecular interactions between genes. In the current study, we focus on gefitinib and erlotinib and characterized cell lines based on their sensitivity. We also consider CRISPR knockout screening of the target gene, epidermal growth factor receptor (