Genome Biology (Jan 2021)

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

  • Yadi Zhou,
  • Junfei Zhao,
  • Jiansong Fang,
  • William Martin,
  • Lang Li,
  • Ruth Nussinov,
  • Timothy A. Chan,
  • Charis Eng,
  • Feixiong Cheng

DOI
https://doi.org/10.1186/s13059-021-02269-3
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 18

Abstract

Read online

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