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My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845113/ https://www.ncbi.nlm.nih.gov/pubmed/33514395 http://dx.doi.org/10.1186/s13059-021-02269-3 |
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author | Zhou, Yadi Zhao, Junfei Fang, Jiansong Martin, William Li, Lang Nussinov, Ruth Chan, Timothy A. Eng, Charis Cheng, Feixiong |
author_facet | Zhou, Yadi Zhao, Junfei Fang, Jiansong Martin, William Li, Lang Nussinov, Ruth Chan, Timothy A. Eng, Charis Cheng, Feixiong |
author_sort | Zhou, Yadi |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02269-3. |
format | Online Article Text |
id | pubmed-7845113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78451132021-02-01 My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype Zhou, Yadi Zhao, Junfei Fang, Jiansong Martin, William Li, Lang Nussinov, Ruth Chan, Timothy A. Eng, Charis Cheng, Feixiong Genome Biol Database 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-021-02269-3. BioMed Central 2021-01-29 /pmc/articles/PMC7845113/ /pubmed/33514395 http://dx.doi.org/10.1186/s13059-021-02269-3 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Database Zhou, Yadi Zhao, Junfei Fang, Jiansong Martin, William Li, Lang Nussinov, Ruth Chan, Timothy A. Eng, Charis Cheng, Feixiong My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype |
title | My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype |
title_full | My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype |
title_fullStr | My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype |
title_full_unstemmed | My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype |
title_short | My personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype |
title_sort | my personal mutanome: a computational genomic medicine platform for searching network perturbing alleles linking genotype to phenotype |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7845113/ https://www.ncbi.nlm.nih.gov/pubmed/33514395 http://dx.doi.org/10.1186/s13059-021-02269-3 |
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