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激酶组渲染:一个独立的、可通过网络访问的工具,用于注释人类蛋白质激酶组树。

Kinome Render: a stand-alone and web-accessible tool to annotate the human protein kinome tree.

机构信息

Department of Biochemistry, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Québec, Canada.

European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.

出版信息

PeerJ. 2013 Aug 8;1:e126. doi: 10.7717/peerj.126. Print 2013.

DOI:10.7717/peerj.126
PMID:23940838
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3740139/
Abstract

Human protein kinases play fundamental roles mediating the majority of signal transduction pathways in eukaryotic cells as well as a multitude of other processes involved in metabolism, cell-cycle regulation, cellular shape, motility, differentiation and apoptosis. The human protein kinome contains 518 members. Most studies that focus on the human kinome require, at some point, the visualization of large amounts of data. The visualization of such data within the framework of a phylogenetic tree may help identify key relationships between different protein kinases in view of their evolutionary distance and the information used to annotate the kinome tree. For example, studies that focus on the promiscuity of kinase inhibitors can benefit from the annotations to depict binding affinities across kinase groups. Images involving the mapping of information into the kinome tree are common. However, producing such figures manually can be a long arduous process prone to errors. To circumvent this issue, we have developed a web-based tool called Kinome Render (KR) that produces customized annotations on the human kinome tree. KR allows the creation and automatic overlay of customizable text or shape-based annotations of different sizes and colors on the human kinome tree. The web interface can be accessed at: http://bcb.med.usherbrooke.ca/kinomerender. A stand-alone version is also available and can be run locally.

摘要

人类蛋白激酶在真核细胞的信号转导途径中发挥着重要作用,调节着大多数信号转导途径,以及参与代谢、细胞周期调控、细胞形态、运动、分化和凋亡等多种过程。人类蛋白激酶组包含 518 个成员。大多数关注人类激酶组的研究在某个时候都需要可视化大量的数据。在系统发生树的框架内可视化这些数据,可以帮助根据不同蛋白激酶的进化距离和用于注释激酶组树的信息来识别它们之间的关键关系。例如,关注激酶抑制剂变构性的研究可以从注释中受益,以便在激酶组之间描绘结合亲和力。涉及将信息映射到激酶组树的图像很常见。然而,手动生成这些图像可能是一个漫长而费力的过程,容易出错。为了解决这个问题,我们开发了一个名为 Kinome Render(KR)的基于网络的工具,它可以在人类激酶组树上生成自定义注释。KR 允许在人类激酶组树上创建和自动叠加不同大小和颜色的可定制文本或基于形状的注释。该网络界面可访问:http://bcb.med.usherbrooke.ca/kinomerender。也提供了一个独立版本,可以在本地运行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/9a13c5c40c36/peerj-01-126-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/6eab523eb931/peerj-01-126-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/fbeec2c5604d/peerj-01-126-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/9339bccd73f5/peerj-01-126-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/c0c94d9e78a4/peerj-01-126-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/004294bb04af/peerj-01-126-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/9a13c5c40c36/peerj-01-126-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/6eab523eb931/peerj-01-126-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/fbeec2c5604d/peerj-01-126-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/9339bccd73f5/peerj-01-126-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/c0c94d9e78a4/peerj-01-126-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/004294bb04af/peerj-01-126-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fc0/3740139/9a13c5c40c36/peerj-01-126-g006.jpg

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