European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, United Kingdom.
Swiss Institute of Bioinformatics, Geneva, Switzerland.
Curr Protoc. 2023 Mar;3(3):e700. doi: 10.1002/cpz1.700.
The Universal Protein Resource (UniProt) is a comprehensive resource for protein sequence and annotation data. The UniProt website receives about 800,000 unique visitors per month and is the primary means to access UniProt. It provides 10 searchable datasets and four main tools. The key UniProt datasets are the UniProt Knowledgebase (UniProtKB), the UniProt Reference Clusters (UniRef), the UniProt Archive (UniParc), and protein sets for completely sequenced genomes (Proteomes). Other supporting datasets include information about proteins that is present in UniProtKB protein entries, such as literature citations, taxonomy, and subcellular locations, among others. This article focuses on how to use UniProt datasets. The first basic protocol describes navigation and searching mechanisms for the UniProt datasets, and two additional protocols build on the first protocol to describe advanced search and query building. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Searching UniProt datasets Basic Protocol 2: Advanced search and query building Basis Protocol 3: Adding parameters using advanced search.
通用蛋白质资源(UniProt)是一个全面的蛋白质序列和注释数据资源。UniProt 网站每月接待约 800,000 位独立访客,是访问 UniProt 的主要途径。它提供了 10 个可搜索的数据集和四个主要工具。关键的 UniProt 数据集包括 UniProt 知识库(UniProtKB)、UniRef 参考簇、UniProt 档案(UniParc)和完全测序基因组的蛋白质组(Proteomes)。其他支持的数据集包括存在于 UniProtKB 蛋白质条目中的有关蛋白质的信息,例如文献引用、分类学和亚细胞位置等。本文重点介绍如何使用 UniProt 数据集。第一个基本方案描述了 UniProt 数据集的导航和搜索机制,另外两个基本方案则基于第一个方案,描述了高级搜索和查询构建。© 2023 作者。Wiley Periodicals LLC 出版的《当代协议》。基本方案 1:搜索 UniProt 数据集基本方案 2:高级搜索和查询构建基础方案 3:使用高级搜索添加参数。