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*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

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.

Original languageEnglish
Article number53
JournalGenome Biology
Volume22
Issue number1
DOIs
StatePublished - Dec 2021

Funding

FundersFunder number
Cleveland Clinic Taussig Cancer Institute
National Institutes of HealthR00 HL138272
National Institute on AgingR01AG066707
National Heart, Lung, and Blood Institute
Cleveland Clinic
Frederick National Laboratory for Cancer ResearchHHSN261200800001E

    Keywords

    • Edgetic
    • Mutanome
    • Nodetic
    • Precision cancer medicine
    • Protein-protein interaction
    • Somatic mutations

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