Network of Cancer Genes

Network of Cancer Genes maps 736 cancer-related genes and 5,357 cancer-associated proteins onto a human protein-protein interaction network to enable analysis of duplicability, orthology, evolutionary appearance, and topological properties.


Key Features:

  • Gene Data Integration: Compiles information on 736 cancer-related genes including duplicability, orthology, evolutionary appearance, and topological properties within a human protein-protein interaction network.
  • Protein Interaction Network: Provides a detailed human protein-protein interaction network including data on primary interactors of cancer-related proteins.
  • Comprehensive Protein Overview: Integrates data on 5,357 proteins involved in cancer to inform interactions and pathways related to oncogenesis.
  • Dynamic Resource: Continuously updated with new findings from mutational screenings of cancer genomes.

Scientific Applications:

  • Gene Analysis: Retrieves detailed information on specific cancer genes for targeted studies and hypothesis generation.
  • Comparative Studies: Identifies common properties among precompiled lists of cancer genes for comparative genomics and evolutionary biology research.
  • Protein Interaction Research: Supports investigations into molecular mechanisms of cancer development through protein interaction data.

Methodology:

Systematically gathers and integrates genetic and proteomic data from existing databases and mutational screening results to build a human protein-protein interaction network reflecting direct and indirect protein relationships, with advanced bioinformatics techniques applied to ensure data accuracy and relevance.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
3/27/2017
Last Updated:
11/25/2024

Operations

Publications

Syed AS, D'Antonio M, Ciccarelli FD. Network of Cancer Genes: a web resource to analyze duplicability, orthology and network properties of cancer genes. Nucleic Acids Research. 2009;38(suppl_1):D670-D675. doi:10.1093/nar/gkp957. PMID:19906700. PMCID:PMC2808873.

Documentation