Proteome Informatics Group, SIB Swiss Institute of Bioinformatics, CH-1211 Geneva, Switzerland.
Computer Science Department, University of Geneva, CH-1227 Geneva, Switzerland.
Nucleic Acids Res. 2024 Jan 5;52(D1):D1683-D1693. doi: 10.1093/nar/gkad905.
The UniLectin portal (https://unilectin.unige.ch/) was designed in 2019 with the goal of centralising curated and predicted data on carbohydrate-binding proteins known as lectins. UniLectin is also intended as a support for the study of lectomes (full lectin set) of organisms or tissues. The present update describes the inclusion of several new modules and details the latest (https://unilectin.unige.ch/humanLectome/), covering our knowledge of the human lectome and comprising 215 unevenly characterised lectins, particularly in terms of structural information. Each HumanLectome entry is protein-centric and compiles evidence of carbohydrate recognition domain(s), specificity, 3D-structure, tissue-based expression and related genomic data. Other recent improvements regarding interoperability and accessibility are outlined.
UniLectin 门户(https://unilectin.unige.ch/)于 2019 年设计,旨在集中整理和预测已知的糖结合蛋白(即凝集素)的相关数据。UniLectin 也可作为研究生物体或组织的凝集素组(完整的凝集素组)的辅助工具。本更新版本描述了几个新模块的加入,并详细介绍了最新版本(https://unilectin.unige.ch/humanLectome/),涵盖了我们对人类凝集素组的了解,包括 215 种特征不明确的凝集素,特别是在结构信息方面。每个 HumanLectome 条目都以蛋白质为中心,汇集了碳水化合物识别域、特异性、3D 结构、基于组织的表达和相关基因组数据的证据。还概述了其他最近在互操作性和可访问性方面的改进。