DisGeNet:疾病和各种相关基因之间以疾病为中心的相互作用数据库。

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Database: The Journal of Biological Databases and Curation Pub Date : 2025-01-11 DOI:10.1093/database/baae122
Yaxuan Hu, Xingli Guo, Yao Yun, Liang Lu, Xiaotai Huang, Songwei Jia
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引用次数: 0

摘要

复杂疾病的发病机制与多种基因有着错综复杂的联系,网络医学提高了人们对疾病的认识。然而,大多数基于网络的方法忽略了非编码rna (ncRNAs)介导的相互作用,大多数数据库只关注基因与疾病之间的关联。基于上述问题,我们开发了DisGeNet,这是一个不仅关注疾病相关基因,而且关注基因之间相互作用的数据库。在这里,疾病与各种基因之间的联系以及这些基因之间的相互作用被整合到一个以疾病为中心的网络中。结果,共有502688个相互作用/关联涉及6697种疾病,5780个lncRNAs(长链非编码rna), 16135个蛋白质编码基因和2610个microRNAs存储在DisGeNet中。这些相互作用/关联可归类为蛋白质-蛋白质、lncrna -疾病、microrna -基因、microrna -疾病、基因-疾病和microRNA-lncRNA。此外,当用户输入疾病/基因的名称/ID进行搜索时,有关搜索内容的交互/关联可以作为列表浏览或在本地网络视图中查看。数据库地址:https://disgenet.cn/。
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DisGeNet: a disease-centric interaction database among diseases and various associated genes.

The pathogenesis of complex diseases is intricately linked to various genes and network medicine has enhanced understanding of diseases. However, most network-based approaches ignore interactions mediated by noncoding RNAs (ncRNAs) and most databases only focus on the association between genes and diseases. Based on the mentioned questions, we have developed DisGeNet, a database focuses not only on the disease-associated genes but also on the interactions among genes. Here, the associations between diseases and various genes, as well as the interactions among these genes are integrated into a disease-centric network. As a result, there are a total of 502 688 interactions/associations involving 6697 diseases, 5780 lncRNAs (long noncoding RNAs), 16 135 protein-coding genes, and 2610 microRNAs stored in DisGeNet. These interactions/associations can be categorized as protein-protein, lncRNA-disease, microRNA-gene, microRNA-disease, gene-disease, and microRNA-lncRNA. Furthermore, as users input name/ID of diseases/genes for search, the interactions/associations about the search content can be browsed as a list or viewed in a local network-view. Database URL: https://disgenet.cn/.

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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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