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JNK与P38激酶级联之间相互作用影响的计算预测与分析

Computational prediction and analysis of impact of the cross-talks between JNK and P38 kinase cascades.

作者信息

Sundaramurthy Pandurangan, Gakkhar Sunita, Sowdhamini Ramanathan

机构信息

Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee - 247667, Uttarakhand, India.

出版信息

Bioinformation. 2009;3(6):250-4. doi: 10.6026/97320630003250. Epub 2009 Jan 12.

Abstract

Signal transduction is a complex protein signaling process with a rich network of multifunctional interactions that occur in a non-linear fashion. Mitogen-activated protein kinase (MAPK) signal transduction pathways regulate diverse cellular processes ranging from proliferation and differentiation to apoptosis. In mammals, out of five, there are three well characterized subfamilies of MAPKs - ERKs (Extracellular signal-regulated kinases), JNKs (c-Jun N-terminal kinases), and P38 kinases, and their activators, are implicated in human diseases and are targets for drug development. Kinase cascades in MAPK pathways mediate the sensing and processing of stimuli. To understand how cells makes decisions, the dynamic interactions of components of signaling cascades are important rather than just creating static maps. Based on enzyme kinetic reactions, we have developed a mathematical model to analyze the impact of the cross-talks between JNK and P38 kinase cascades. Cross-talks between JNK and P38 kinase cascades influence the activities of P38 kinases. Responses of the signals should be studied for network of kinase cascades by considering cross-talks.

摘要

信号转导是一个复杂的蛋白质信号传导过程,具有丰富的多功能相互作用网络,这些相互作用以非线性方式发生。丝裂原活化蛋白激酶(MAPK)信号转导途径调节从增殖、分化到凋亡等多种细胞过程。在哺乳动物中,MAPK有五个亚家族,其中三个已得到充分表征——细胞外信号调节激酶(ERK)、c-Jun氨基末端激酶(JNK)和p38激酶,它们及其激活剂与人类疾病有关,是药物开发的靶点。MAPK途径中的激酶级联介导刺激的感知和处理。为了理解细胞如何做出决策,信号级联组件的动态相互作用很重要,而不仅仅是创建静态图谱。基于酶动力学反应,我们开发了一个数学模型来分析JNK和p38激酶级联之间的相互作用的影响。JNK和p38激酶级联之间的相互作用影响p38激酶的活性。应通过考虑相互作用来研究激酶级联网络的信号响应。

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