AlloDriver

AlloDriver identifies and analyzes cancer driver genes and proteins by mapping somatic mutations onto protein allosteric and orthosteric sites using three-dimensional structural and dynamic features to assess functional impact.

Key Features:

• Mutation Mapping: Maps mutations from clinical cancer samples to allosteric and orthosteric sites derived from three-dimensional protein structures.
• Structural and Dynamic Analysis: Utilizes protein structural information and dynamic properties to evaluate the potential impact of mutations on protein function.
• Reidentification of Known Drivers: Reidentifies known cancer driver mutations and genes/proteins from clinical samples.
• Discovery of Novel Targets: Identifies novel cancer driver proteins and mutations, exemplified by the L1143F mutation in PTPRK in HNSC, which was experimentally validated by a cell proliferation assay.

Scientific Applications:

• Therapeutic Target Identification: Pinpoints mutations that alter protein function to highlight potential targets for cancer therapy development.
• Molecular Mechanism Elucidation: Reveals how specific mutations perturb protein functions to uncover mechanisms of tumorigenesis.
• Personalized Medicine: Prioritizes potentially functional genes and proteins in individual cancers to support tailored therapeutic approaches.

Methodology:

Integrates structural biology and bioinformatics by analyzing three-dimensional protein structures and protein dynamic properties and mapping clinical somatic mutations to allosteric and orthosteric sites to assess functional impact.