Nucleic Acids Res. 2023 Jan 6;51(D1):D523-D531. doi: 10.1093/nar/gkac1052.
The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional information. In this publication we describe enhancements made to our data processing pipeline and to our website to adapt to an ever-increasing information content. The number of sequences in UniProtKB has risen to over 227 million and we are working towards including a reference proteome for each taxonomic group. We continue to extract detailed annotations from the literature to update or create reviewed entries, while unreviewed entries are supplemented with annotations provided by automated systems using a variety of machine-learning techniques. In addition, the scientific community continues their contributions of publications and annotations to UniProt entries of their interest. Finally, we describe our new website (https://www.uniprot.org/), designed to enhance our users' experience and make our data easily accessible to the research community. This interface includes access to AlphaFold structures for more than 85% of all entries as well as improved visualisations for subcellular localisation of proteins.
UniProt 知识库的目标是为用户提供一套全面、高质量且免费获取的蛋白质序列，这些序列都附有功能信息注释。在本出版物中，我们描述了对我们的数据处理管道和网站所做的增强，以适应不断增长的信息量。UniProtKB 中的序列数量已超过 2.27 亿，我们正在努力为每个分类群包含一个参考蛋白质组。我们继续从文献中提取详细注释来更新或创建经过评审的条目，同时使用各种机器学习技术的自动系统提供的注释来补充未经评审的条目。此外，科学界继续向他们感兴趣的 UniProt 条目的出版物和注释做出贡献。最后，我们描述了我们的新网站（https://www.uniprot.org/），旨在增强我们用户的体验，并使我们的数据易于研究社区访问。该界面包括对超过 85%的所有条目进行 AlphaFold 结构的访问，以及对蛋白质亚细胞定位的改进可视化。
