Cargando…
DCMP: database of cancer mutant protein domains
Protein domains are functional and structural units of proteins. They are responsible for a particular function that contributes to protein’s overall role. Because of this essential role, the majority of the genetic variants occur in the domains. In this study, the somatic mutations across 21 cancer...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607521/ https://www.ncbi.nlm.nih.gov/pubmed/34791106 http://dx.doi.org/10.1093/database/baab066 |
_version_ | 1784602579284525056 |
---|---|
author | Emerson, Isaac Arnold Chitluri, Kiran Kumar |
author_facet | Emerson, Isaac Arnold Chitluri, Kiran Kumar |
author_sort | Emerson, Isaac Arnold |
collection | PubMed |
description | Protein domains are functional and structural units of proteins. They are responsible for a particular function that contributes to protein’s overall role. Because of this essential role, the majority of the genetic variants occur in the domains. In this study, the somatic mutations across 21 cancer types were mapped to the individual protein domains. To map the mutations to the domains, we employed the whole human proteome to predict the domains in each protein sequence and recognized about 149 668 domains. A novel Perl-API program was developed to convert the protein domain positions into genomic positions, and users can freely access them through GitHub. We determined the distribution of protein domains across 23 chromosomes with the help of these genomic positions. Interestingly, chromosome 19 has more number of protein domains in comparison with other chromosomes. Then, we mapped the cancer mutations to all the protein domains. Around 46–65% of mutations were mapped to their corresponding protein domains, and significantly mutated domains for all the cancer types were determined using the local false discovery ratio (locfdr). The chromosome positions for all the protein domains can be verified using the cross-reference ensemble database. Database URL: https://dcmp.vit.ac.in/ |
format | Online Article Text |
id | pubmed-8607521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86075212021-11-23 DCMP: database of cancer mutant protein domains Emerson, Isaac Arnold Chitluri, Kiran Kumar Database (Oxford) Database Tool Protein domains are functional and structural units of proteins. They are responsible for a particular function that contributes to protein’s overall role. Because of this essential role, the majority of the genetic variants occur in the domains. In this study, the somatic mutations across 21 cancer types were mapped to the individual protein domains. To map the mutations to the domains, we employed the whole human proteome to predict the domains in each protein sequence and recognized about 149 668 domains. A novel Perl-API program was developed to convert the protein domain positions into genomic positions, and users can freely access them through GitHub. We determined the distribution of protein domains across 23 chromosomes with the help of these genomic positions. Interestingly, chromosome 19 has more number of protein domains in comparison with other chromosomes. Then, we mapped the cancer mutations to all the protein domains. Around 46–65% of mutations were mapped to their corresponding protein domains, and significantly mutated domains for all the cancer types were determined using the local false discovery ratio (locfdr). The chromosome positions for all the protein domains can be verified using the cross-reference ensemble database. Database URL: https://dcmp.vit.ac.in/ Oxford University Press 2021-11-13 /pmc/articles/PMC8607521/ /pubmed/34791106 http://dx.doi.org/10.1093/database/baab066 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Tool Emerson, Isaac Arnold Chitluri, Kiran Kumar DCMP: database of cancer mutant protein domains |
title | DCMP: database of cancer mutant protein domains |
title_full | DCMP: database of cancer mutant protein domains |
title_fullStr | DCMP: database of cancer mutant protein domains |
title_full_unstemmed | DCMP: database of cancer mutant protein domains |
title_short | DCMP: database of cancer mutant protein domains |
title_sort | dcmp: database of cancer mutant protein domains |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607521/ https://www.ncbi.nlm.nih.gov/pubmed/34791106 http://dx.doi.org/10.1093/database/baab066 |
work_keys_str_mv | AT emersonisaacarnold dcmpdatabaseofcancermutantproteindomains AT chitlurikirankumar dcmpdatabaseofcancermutantproteindomains |