Department of Genetics and Genomic Sciences, Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
NPJ Syst Biol Appl. 2024 Oct 3;10(1):113. doi: 10.1038/s41540-024-00442-5.
Interactions between protein kinases and their substrates are critical for the modulation of complex signaling pathways. Currently, there is a large amount of information available about kinases and their substrates in disparate public databases. However, these data are difficult to interpret in the context of cellular systems, which can be facilitated by examining interactions among multiple proteins at once, such as the network of interactions that constitute a signaling pathway. We present KiNet, a user-friendly web portal that integrates and shares information about kinase-substrate interactions from multiple databases of post-translational modifications. KiNet enables the visual exploration of these interactions in systems contexts, such as pathways, domain families, and custom protein set inputs, in an interactive fashion. We expect KiNet to be useful as a knowledge discovery tool for kinase-substrate interactions, and the aggregated KiNet dataset to be useful for protein kinase studies and systems-level analyses. The portal is available at https://kinet.kinametrix.com/ .
蛋白激酶与其底物之间的相互作用对于调节复杂的信号通路至关重要。目前,不同的公共数据库中提供了大量关于激酶及其底物的信息。然而,这些数据在细胞系统的背景下很难解释,可以通过同时检查多种蛋白质之间的相互作用来促进,例如构成信号通路的相互作用网络。我们介绍了 KiNet,这是一个用户友好的网络门户,它整合并共享来自多个翻译后修饰数据库的激酶-底物相互作用信息。KiNet 能够以交互方式在系统上下文中(如通路、结构域家族和自定义蛋白质集输入)可视化探索这些相互作用。我们希望 KiNet 能够成为激酶-底物相互作用的知识发现工具,而聚合的 KiNet 数据集对于蛋白激酶研究和系统级分析也将非常有用。该门户可在 https://kinet.kinametrix.com/ 访问。