Zhou et al. Genome Biology (2021) 22:53 https://doi.org/10.1186/s13059-021-02269-3 DATABASE Open Access My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype Yadi Zhou1†, Junfei Zhao2,3†, Jiansong Fang1†, William Martin1, Lang Li4, Ruth Nussinov5,6, Timothy A. Chan1,7,8,9,10, Charis Eng1,8,9,10,11 and Feixiong Cheng1,8,9* * Correspondence:
[email protected] †Yadi Zhou, Junfei Zhao and Abstract Jiansong Fang contributed equally to this work. Massive genome sequencing data have inspired new challenges in personalized 1Genomic Medicine Institute, Lerner treatments and facilitated oncological drug discovery. We present a comprehensive Research Institute, Cleveland Clinic, database, My Personal Mutanome (MPM), for accelerating the development of Cleveland, OH 44195, USA 8Department of Molecular Medicine, precision cancer medicine protocols. MPM contains 490,245 mutations from over 10, Cleveland Clinic Lerner College of 800 tumor exomes across 33 cancer types in The Cancer Genome Atlas mapped to Medicine, Case Western Reserve 94,563 structure-resolved/predicted protein-protein interaction interfaces (“edgetic”) University, Cleveland, OH 44195, “ ” USA and 311,022 functional sites ( nodetic ), including ligand-protein binding sites and 8 Full list of author information is types of protein posttranslational modifications. In total, 8884 survival results and 1, available at the end of the article 271,132 drug responses are obtained for these mapped interactions. MPM is available at https://mutanome.lerner.ccf.org. Keywords: Mutanome, Protein-protein interaction, Edgetic, Nodetic, Somatic mutations, Precision cancer medicine Background Recent advances in high-throughput sequencing have led to the availability of hun- dreds of thousands of exomes and genomes, which contain billions of single- nucleotide variants including millions of missense variants [1, 2].