My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype

Genome Biol. 2021 Jan 29;22(1):53. doi: 10.1186/s13059-021-02269-3.

Abstract

Massive genome sequencing data have inspired new challenges in personalized treatments and facilitated oncological drug discovery. We present a comprehensive database, My Personal Mutanome (MPM), for accelerating the development of precision cancer medicine protocols. MPM contains 490,245 mutations from over 10,800 tumor exomes across 33 cancer types in The Cancer Genome Atlas mapped to 94,563 structure-resolved/predicted protein-protein interaction interfaces ("edgetic") and 311,022 functional sites ("nodetic"), including ligand-protein binding sites and 8 types of protein posttranslational modifications. In total, 8884 survival results and 1,271,132 drug responses are obtained for these mapped interactions. MPM is available at https://mutanome.lerner.ccf.org .

Keywords: Edgetic; Mutanome; Nodetic; Precision cancer medicine; Protein-protein interaction; Somatic mutations.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, N.I.H., Intramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alleles*
  • Computational Biology
  • Drug Discovery
  • Exome
  • Genomics*
  • Genotype*
  • Humans
  • Mutation
  • Neoplasms / genetics*
  • Phenotype*
  • Protein Interaction Domains and Motifs
  • Protein Processing, Post-Translational