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DCMP: database of cancer mutant protein domains.
Isaac Arnold Emerson1, Kiran Kumar Chitluri1
1Bioinformatics Programming Lab, Department of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN 632 014, India.
Database : the Journal of Biological Databases and Curation
|November 18, 2021
Summary
This study maps cancer mutations to protein domains, revealing that 46-65% of mutations occur within these functional units. Chromosome 19 shows a higher concentration of protein domains, offering insights into cancer variant distribution.
Area of Science:
- Genomics
- Proteomics
- Bioinformatics
Background:
- Protein domains are crucial functional and structural units within proteins.
- Genetic variants, particularly somatic mutations in cancer, frequently occur within these domains.
- Understanding mutation distribution in protein domains is key to comprehending cancer development.
Purpose of the Study:
- To map somatic mutations across 21 cancer types to individual protein domains.
- To develop and utilize a novel computational tool for mapping mutations to protein domains.
- To identify significantly mutated protein domains across various cancer types.
Main Methods:
- Predicted approximately 149,668 protein domains across the entire human proteome.
- Developed a Perl-API program to convert protein domain positions to genomic positions.
- Mapped cancer mutations to protein domains and identified significantly mutated domains using local false discovery rate (locfdr).
Main Results:
- Between 46-65% of somatic mutations were successfully mapped to their corresponding protein domains.
- Chromosome 19 was identified as having the highest number of protein domains compared to other chromosomes.
- Significantly mutated domains were determined for all investigated cancer types.
Conclusions:
- The study provides a comprehensive mapping of cancer mutations within protein domains.
- The developed Perl-API tool facilitates the conversion of protein domain to genomic positions, aiding research.
- Findings highlight the importance of protein domains in cancer genetics and offer insights into mutation patterns.
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