Analyzing Protein Disorder with IUPred2A

Q1 Biochemistry, Genetics and Molecular Biology
Gábor Erdős, Zsuzsanna Dosztányi
{"title":"Analyzing Protein Disorder with IUPred2A","authors":"Gábor Erdős,&nbsp;Zsuzsanna Dosztányi","doi":"10.1002/cpbi.99","DOIUrl":null,"url":null,"abstract":"<p>IUPred2A is a combined prediction tool designed to discover intrinsically disordered or conditionally disordered proteins and protein regions. Intrinsically disordered regions exist without a well-defined three-dimensional structure in isolation but carry out important biological functions. Over the years, various prediction methods have been developed to characterize disordered regions. The existence of disordered segments can also be dependent on different factors such as binding partners or environmental traits like pH or redox potential, and recognizing such regions represents additional computational challenges. In this article, we present detailed instructions on how to use IUPred2A, one of the most widely used tools for the prediction of disordered regions/proteins or conditionally disordered segments, and provide examples of how the predictions can be interpreted in different contexts. © 2020 The Authors.</p><p><b>Basic Protocol 1</b>: Analyzing disorder propensity with IUPred2A online</p><p><b>Basic Protocol 2</b>: Analyzing disordered binding regions using ANCHOR2</p><p><b>Support Protocol 1</b>: Interpretation of the results</p><p><b>Basic Protocol 3</b>: Analyzing redox-sensitive disordered regions</p><p><b>Support Protocol 2</b>: Download options</p><p><b>Support Protocol 3</b>: REST API for programmatic purposes</p><p><b>Basic Protocol 4</b>: Using IUPred2A locally</p>","PeriodicalId":10958,"journal":{"name":"Current protocols in bioinformatics","volume":"70 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpbi.99","citationCount":"201","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current protocols in bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cpbi.99","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 201

Abstract

IUPred2A is a combined prediction tool designed to discover intrinsically disordered or conditionally disordered proteins and protein regions. Intrinsically disordered regions exist without a well-defined three-dimensional structure in isolation but carry out important biological functions. Over the years, various prediction methods have been developed to characterize disordered regions. The existence of disordered segments can also be dependent on different factors such as binding partners or environmental traits like pH or redox potential, and recognizing such regions represents additional computational challenges. In this article, we present detailed instructions on how to use IUPred2A, one of the most widely used tools for the prediction of disordered regions/proteins or conditionally disordered segments, and provide examples of how the predictions can be interpreted in different contexts. © 2020 The Authors.

Basic Protocol 1: Analyzing disorder propensity with IUPred2A online

Basic Protocol 2: Analyzing disordered binding regions using ANCHOR2

Support Protocol 1: Interpretation of the results

Basic Protocol 3: Analyzing redox-sensitive disordered regions

Support Protocol 2: Download options

Support Protocol 3: REST API for programmatic purposes

Basic Protocol 4: Using IUPred2A locally

Abstract Image

用IUPred2A分析蛋白质紊乱
IUPred2A是一种组合预测工具,旨在发现内在无序或条件无序的蛋白质和蛋白质区域。本质上无序的区域是孤立存在的,没有明确的三维结构,但却具有重要的生物学功能。多年来,人们开发了各种预测方法来表征无序区域。无序片段的存在也可能取决于不同的因素,如结合伙伴或环境特征,如pH或氧化还原电位,识别这些区域代表了额外的计算挑战。在本文中,我们详细介绍了如何使用IUPred2A,这是预测无序区域/蛋白质或条条状无序片段的最广泛使用的工具之一,并提供了如何在不同背景下解释预测的示例。©2020作者。基本协议1:使用IUPred2A在线分析无序倾向基本协议2:使用anchor分析无序结合区域支持协议1:结果解释基本协议3:分析氧化还原敏感无序区域支持协议2:下载选项支持协议3:用于编程目的的REST API基本协议4:在本地使用IUPred2A
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Current protocols in bioinformatics
Current protocols in bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry
自引率
0.00%
发文量
0
期刊介绍: With Current Protocols in Bioinformatics, it"s easier than ever for the life scientist to become "fluent" in bioinformatics and master the exciting new frontiers opened up by DNA sequencing. Updated every three months in all formats, CPBI is constantly evolving to keep pace with the very latest discoveries and developments.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信