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GUILDify v2.0: A Tool to Identify Molecular Networks Underlying Human Diseases, Their Comorbidities and Their Druggable Targets

机译:Guildify v2.0:一种识别人类疾病,他们的合并症和可用性靶标的分子网络的工具

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The genetic basis of complex diseases involves alterations on multiple genes. Unraveling the interplay between these genetic factors is key to the discovery of new biomarkers and treatments. In 2014, we introduced GUILDify, a web server that searches for genes associated to diseases, finds novel disease genes applying various network-based prioritization algorithms and proposes candidate drugs. Here, we present GUILDify v2.0, a major update and improvement of the original method, where we have included protein interaction data for seven species and 22 human tissues and incorporated the disease-gene associations from DisGeNET. To infer potential disease relationships associated with multi-morbidities, we introduced a novel feature for estimating the genetic and functional overlap of two diseases using the top-ranking genes and the associated enrichment of biological functions and pathways (as defined by GO and Reactome). The analysis of this overlap helps to identify the mechanistic role of genes and protein protein interactions in comorbidities. Finally, we provided an R package, guildifyR, to facilitate programmatic access to GUILDify v2.0 (http://sbi.upf.edu/guildify2) (C) 2019 Elsevier Ltd. All rights reserved.
机译:复杂疾病的遗传基础涉及多种基因的改变。解开这些遗传因素之间的相互作用是发现新生物标志物和治疗的关键。 2014年,我们介绍了一名关于搜索与疾病相关的基因的网络服务器,发现新型疾病基因应用各种网络的优先级算法并提出候选药物。在这里,我们提出了Guildify v2.0,对原始方法的重大更新和改进,其中我们已经包括七种物种和22个人组织的蛋白质相互作用数据,并将疾病-基因关联掺入了来自DISGENET的疾病。为了推断与多病原体相关的潜在疾病关系,我们介绍了一种新颖的特征,用于估计两种疾病的遗传和功能重叠使用排名基因和相关的生物功能和途径的相关性(如通过GO和Reactome所定义)。对该重叠的分析有助于确定基因和蛋白质蛋白质相互作用在合并症中的机制作用。最后,我们提供了一个R包,GuildifyR,以方便程序访问Guildify v2.0(http://sbi.upf.edu/guildify2)(c)2019 Elsevier Ltd.保留所有权利。

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