Mutanome

Mutanome maps somatic mutations from 10,800 tumor exomes in The Cancer Genome Atlas (TCGA) onto structure-resolved protein-protein interaction interfaces and functional sites to link genomic alterations with protein interaction perturbations and associated clinical and drug-response data.


Key Features:

  • Extensive Mutation Database: Contains 490,245 mutations derived from over 10,800 tumor exomes across 33 cancer types from TCGA.
  • Interaction Mapping: Maps mutations to 94,563 structure-resolved or predicted protein-protein interaction interfaces ("edgetic") and 311,022 functional sites ("nodetic"), including ligand–protein binding sites and eight types of protein posttranslational modifications.
  • Clinical Correlations: Integrates survival outcomes for 8,884 cases and links 1,271,132 drug-response records to the mapped interactions.

Scientific Applications:

  • Precision Medicine: Links genetic alterations to phenotypic effects and clinical outcomes to support interpretation of patient-specific variants in oncology.
  • Drug Discovery and Repurposing: Uses integrated drug-response data and mutation–interaction mappings to identify actionable targets for therapeutic development or repurposing.
  • Molecular Mechanism Research: Provides mapped mutation impacts on protein interactions and functional sites for studies of cancer progression and treatment response mechanisms.

Methodology:

Integrates genomic data with protein interaction networks and maps mutations to edgetic and nodetic interactions to characterize how mutations perturb biological pathways.

Topics

Details

License:
MIT
Tool Type:
web application
Programming Languages:
Python
Added:
3/19/2021
Last Updated:
4/11/2021

Operations

Publications

Zhou Y, Zhao J, Fang J, Martin W, Li L, Nussinov R, Chan TA, Eng C, Cheng F. My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype. Genome Biology. 2021;22(1). doi:10.1186/s13059-021-02269-3. PMID:33514395. PMCID:PMC7845113.

PMID: 33514395
PMCID: PMC7845113
Funding: - Foundation for the National Institutes of Health: 3R01AG066707-01S1, HHSN261200800001E, R00 HL138272, R01AG066707

Links