Cancerouspdomains

Cancerouspdomains maps recurrent somatic mutations to sequence- and structure-based protein domains across 29 cancer types to identify cancer type-specific mutated domains and their associated proteins.

Key Features:

• Domain-Level Mutation Mapping: Maps somatic mutations across 29 cancer types to both sequence- and structure-based protein domains.
• Statistical Domain Identification: Uses statistical analysis to identify candidate domains with high mutation frequency and to distinguish cancer type-specific domains.
• Protein and Interactome Analysis: Identifies proteins associated with type-specific domains and performs interactome analysis to assess interconnectivity among those proteins.
• Gene Group Mutation Frequency Analysis: Evaluates mutation frequencies in mitochondrial genes, stem cell-specific genes, and DNA repair genes across cancers.
• Domain Annotation with CATH and Pfam: Annotates mutations within CATH and Pfam domain regions of protein-coding genes.

Scientific Applications:

• Elucidating Molecular Mechanisms: Associates domain-level mutations with functional implications to reveal molecular mechanisms driving oncogenesis.
• Targeted Cancer Research: Enables identification of cancer type-specific domains and proteins for focused studies of genetic alterations.
• Functional Genomics Studies: Supports exploration of the functional impact of domain mutations on cellular processes in cancer.

Methodology:

Mapping somatic mutations to sequence- and structure-based domains across 29 cancer types; statistical analyses to identify candidate and type-specific domains; identification of proteins linked to type-specific domains and interactome analysis; evaluation of mutation frequencies in mitochondrial, stem cell-specific, and DNA repair genes; annotation of mutations in CATH and Pfam domain regions.