Kinome Render: a stand-alone and web-accessible tool to annotate the human protein kinome tree.
Kinome Render: a stand-alone and web-accessible tool to annotate the human protein kinome tree.
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作者：
Chartier M;Chénard T;Barker J;Najmanovich R
真核细胞中的大多数信号转导途径以及代谢、细胞周期调节、细胞形态、运动、分化和凋亡等过程中，人的蛋白激酶都起着重要的调节作用。人类蛋白质组由518个成员组成。大多数专注于人类亲属组的研究在某种程度上需要大量数据的可视化。在系统发育树的框架内可视化这些数据可能有助于识别不同蛋白激酶之间的关键关系，因为它们的进化距离和用于注释亲属组树的信息。例如，专注于激酶抑制剂的混杂的研究可以受益于这些注释，以描述不同激酶组之间的结合亲和力。涉及信息到亲属树的映射的图像是常见的。然而，手工制作这样的数据可能是一个漫长而艰巨的过程，容易出错。为了绕过这个问题，我们开发了一个基于网络的工具，称为Kinome Render(KR)，它可以在人类基因组树上生成定制的注释。KR允许在人类基因组树上创建和自动覆盖不同大小和颜色的可定制文本或基于形状的注释。可通过以下地址访问Web界面：。还提供了独立版本，可以在本地运行。
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: . A stand-alone version is also available and can be run locally.
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DOI：
10.1073/pnas.85.8.2444
发表时间：
1988-04-01
影响因子：
11.1
作者：
PEARSON, WR;LIPMAN, DJ
通讯作者：
LIPMAN, DJ
影响因子：
56.9
作者：
Manning, G;Whyte, DB;Sudarsanam, S
通讯作者：
Sudarsanam, S
影响因子：
46.9
作者：
Karaman, Mazen W.;Herrgard, Sanna;Zarrinkar, Patrick P.
通讯作者：
Zarrinkar, Patrick P.
影响因子：
14.9
作者：
UniProt Consortium
通讯作者：
UniProt Consortium
影响因子：
14.8
作者：
Fedorov, Oleg;Mueller, Susanne;Knapp, Stefan
通讯作者：
Knapp, Stefan