AnnoDUF: A Web-Based Tool for Annotating Functions of Proteins Having Domains of Unknown Function.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-10-04 Epub Date: 2024-08-31 DOI:10.1021/acs.jproteome.4c00251
Aman Vishwakarma, Namrata Padmashali, Saravanamuthu Thiyagarajan
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引用次数: 0

Abstract

The rapid expansion of biological sequence databases due to high-throughput genomic and proteomic sequencing methods has left a considerable number of identified protein sequences with unclear or incomplete functional annotations. Domains of unknown function (DUFs) are protein domains that lack functional annotations but are present in numerous proteins. To address the challenge of finding functional annotations for DUFs, we have developed a computational method that efficiently identifies and annotates these enigmatic protein domains by utilizing the position-specific iterative basic local alignment search tool (PSI-BLAST) and data mining techniques. Our pipeline identifies putative potential functionalities of DUFs, thereby decreasing the gap between known sequences and functions. The tool can also take user input sequences to annotate. We executed our pipeline on 5111 unique DUF sequences obtained from Pfam, resulting in putative annotations for 2007 of these. These annotations were subsequently incorporated into a comprehensive database and interfaced with a web-based server named "AnnoDUF". AnnoDUF is freely accessible to both academic and industrial users, via the World Wide Web at the link http://bts.ibab.ac.in/annoduf.php. All scripts used in this study are uploaded to the GitHub repository, and these can be accessed from https://github.com/BioToolSuite/AnnoDUF.

Abstract Image

AnnoDUF:一种基于网络的工具,用于标注具有未知功能域的蛋白质的功能。
由于高通量基因组和蛋白质组测序方法的应用,生物序列数据库迅速扩大,导致大量已鉴定的蛋白质序列功能注释不明确或不完整。未知功能域(DUF)是缺乏功能注释但存在于众多蛋白质中的蛋白质结构域。为了应对为 DUFs 寻找功能注释的挑战,我们开发了一种计算方法,利用位置特异性迭代基本局部比对搜索工具(PSI-BLAST)和数据挖掘技术,有效地识别和注释这些神秘的蛋白质结构域。我们的管道能识别 DUF 的潜在功能,从而缩小已知序列与功能之间的差距。该工具还可以接受用户输入的序列进行注释。我们对从 Pfam 中获得的 5111 个独特的 DUF 序列执行了我们的管道,为其中的 2007 个序列做出了推定注释。这些注释随后被纳入一个综合数据库,并与一个名为 "AnnoDUF "的网络服务器连接。学术界和工业界用户均可通过万维网免费访问 AnnoDUF,网址是 http://bts.ibab.ac.in/annoduf.php。本研究中使用的所有脚本都上传到了 GitHub 存储库,可通过 https://github.com/BioToolSuite/AnnoDUF 访问这些脚本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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