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如何向真核线性基序资源提交短线性基序注释

How to Annotate and Submit a Short Linear Motif to the Eukaryotic Linear Motif Resource.

机构信息

Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.

Faculty of Biosciences, Collaboration for Joint PhD Degree between EMBL and Heidelberg University, Heidelberg, Germany.

出版信息

Methods Mol Biol. 2020;2141:73-102. doi: 10.1007/978-1-0716-0524-0_4.

DOI:10.1007/978-1-0716-0524-0_4
PMID:32696353
Abstract

Over the past few years, it has become apparent that approximately 35% of the human proteome consists of intrinsically disordered regions. Many of these disordered regions are rich in short linear motifs (SLiMs) which mediate protein-protein interactions. Although these motifs are short and often partially conserved, they are involved in many important aspects of protein function, including cleavage, targeting, degradation, docking, phosphorylation, and other posttranslational modifications. The Eukaryotic Linear Motif resource (ELM) was established over 15 years ago as a repository to store and catalogue the scientific discoveries of motifs. Each motif in the database is annotated and curated manually, based on the experimental evidence gathered from publications. The entries themselves are submitted to ELM by filling in two annotation templates designed for motif class and motif instance annotation. In this protocol, we describe the steps involved in annotating new motifs and how to submit them to ELM.

摘要

在过去的几年中,人们已经明显认识到人类蛋白质组大约有 35%由内在无序区域组成。这些无序区域中有很多富含短线性基序 (SLiMs),这些基序介导蛋白质-蛋白质相互作用。尽管这些基序较短且通常部分保守,但它们涉及蛋白质功能的许多重要方面,包括切割、靶向、降解、对接、磷酸化和其他翻译后修饰。真核线性基序资源 (ELM) 是在 15 年前建立的,作为一个存储库,用于存储和分类基序的科学发现。数据库中的每个基序都是根据从出版物中收集的实验证据,手动进行注释和整理的。条目本身是通过填写为基序类别和基序实例注释设计的两个注释模板提交给 ELM 的。在本方案中,我们将描述注释新基序的步骤以及如何将其提交给 ELM。

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Nucleic Acids Res. 2019 Jan 8;47(D1):D433-D441. doi: 10.1093/nar/gky1159.
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InterPro in 2019: improving coverage, classification and access to protein sequence annotations.InterPro 在 2019 年:提高蛋白质序列注释的覆盖范围、分类和访问。
Nucleic Acids Res. 2019 Jan 8;47(D1):D351-D360. doi: 10.1093/nar/gky1100.
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The Pfam protein families database in 2019.
Nucleic Acids Res. 2022 Jan 7;50(D1):D497-D508. doi: 10.1093/nar/gkab975.
2019 年 Pfam 蛋白质家族数据库。
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IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding.IUPred2A:氧化还原状态和蛋白质结合依赖性的蛋白质无序性预测的上下文相关分析。
Nucleic Acids Res. 2018 Jul 2;46(W1):W329-W337. doi: 10.1093/nar/gky384.
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