Developed as a Master’s Thesis, this project created an automated computational module for the functional annotation of genomic variants within 3D protein structures.
Key Features#
- Variant Annotation: Automated the identification and labeling of cancer-related single-nucleotide variants (SNVs) specifically located at protein-protein interaction (PPI) interfaces.
- Data Integration: Successfully integrated high-dimensional data from Appris, Interactome3D, and COSMIC to provide a comprehensive structural context for mutations.
- Functional Insights: Enabled researchers to streamline the analysis of potential cancer-driving mutations by visualizing their impact on protein complex stability and function.
Technologies: Ruby, JavaScript, Bioinformatics Data Integration, Structural Biology.