
1576-Mapping Significantly Mutated Protein Regions in Cancer
Researchers have developed a proteo-genomics framework that integrates protein structural data with genomic sequences from over 130,000 cancer patients. This model identifies significantly mutated regions across 173 cancer-related genes, mapping where mutations cluster within three-dimensional protein structures. These high-density regions frequently align with critical functional domains, such as DNA-binding sites or catalytic centers, revealing how specific mutations drive tumor growth. The study distinguishes between oncogenes and tumor suppressors based on whether mutations disrupt…
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