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DCMP:癌症突变蛋白结构域数据库。

DCMP: database of cancer mutant protein domains.

机构信息

Bioinformatics Programming Lab, Department of Biotechnology, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, TN 632 014, India.

出版信息

Database (Oxford). 2021 Nov 13;2021(2021). doi: 10.1093/database/baab066.

Abstract

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/.

摘要

蛋白质结构域是蛋白质的功能和结构单元。它们负责特定的功能,这些功能有助于蛋白质的整体作用。由于这种重要作用,大多数遗传变异都发生在结构域中。在这项研究中,将 21 种癌症类型的体细胞突变映射到单个蛋白质结构域。为了将突变映射到结构域,我们使用了整个人类蛋白质组来预测每个蛋白质序列中的结构域,并识别出约 149668 个结构域。开发了一个新的 Perl-API 程序,将蛋白质结构域位置转换为基因组位置,用户可以通过 GitHub 自由访问这些位置。在这些基因组位置的帮助下,我们确定了 23 条染色体上的蛋白质结构域分布。有趣的是,与其他染色体相比,19 号染色体上的蛋白质结构域数量更多。然后,我们将癌症突变映射到所有的蛋白质结构域。大约 46-65%的突变映射到它们相应的蛋白质结构域,并且使用局部假发现率(locfdr)确定了所有癌症类型的显著突变结构域。所有蛋白质结构域的染色体位置都可以使用交叉引用综合数据库进行验证。数据库 URL:https://dcmp.vit.ac.in/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93cc/8607521/7466873cb436/baab066f1.jpg

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