Integrated Computational Analysis Reveals Structurally Destabilizing Missense Variants in the

BACKGROUND/

objectivePancreatic and duodenal homeobox 1 (PDX1) is a key transcription factor required for pancreatic development and maintenance of β-cell function. Genetic variants in PDX1 have been associated with monogenic forms of diabetes, including maturity-onset diabetes of the young type 4 (MODY4). However, the func-tional consequences of many reported non-synonymous single-nucleotide polymorphisms (nsSNPs) in PDX1 remain unclear. In this study, an integrated in silico approach was applied to systematically identify and characterize po-tentially deleterious nsSNPs in the PDX1 gene.

methodsMissense variants were retrieved from public databases and evaluated using multiple sequence- and structure-based prediction tools to assess functional impact, disease association, protein stability, and structural consequences. Variants considered deleterious were further examined through three-dimensional structural modeling and molecular dynamics simulation.

resultsSeveral nsSNPs were identified with consistent predictions of pathogenicity, reduced protein stability, and pronounced structural and dynamic perturbations. Variants including R197G, Y170N, and T151K in the PDX1 Protein were considered the highest deleterious mutants.

conclusionThese findings will provide insight into the molecular mechanisms by which PDX1 mutations may contribute to β-cell dysfunction and diabetes development and offer a rational framework for prior-itizing variants for experimental validation and clinical interpretation.