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引用次数: 0
摘要
蛋白激酶活性的精确调控对细胞功能至关重要,它的丧失与多种疾病有关。激酶的活性是通过构象图谱中活性和非活性状态的相互转换来调控的。然而,人们对蛋白激酶如何在不同信号(如在不同位点的结合)的作用下转换构象仍然知之甚少。在这里,我们利用增强的构象取样模拟(共 24 μs)预测了多肽底物与 Src 酪氨酸激酶的结合模式,然后通过进行无偏分子动力学模拟(共 50 μs),研究了底物结合后构象格局的变化,模拟从 apo 和底物结合形式开始。出乎意料的是,肽底物结合显著促进了从活性构象到非活性构象的转变,在这种转变过程中,αC 螺旋向外定向,调控棘被打破,ATP 结合域受到扰动。我们还探索了导致异构构象变化的潜在残基接触网络。我们的研究结果与最近报道肽底物和 ATP 结合对酪氨酸激酶的负协同作用的实验结果一致,并将有助于推进我们对激酶活性调控机制的理解。
Allosteric changes in the conformational landscape of Src kinase upon substrate binding.
Precise regulation of protein kinase activity is crucial in cell functions, and its loss is implicated in various diseases. The kinase activity is regulated by interconverting active and inactive states in the conformational landscape. However, how protein kinases switch conformations in response to different signals such as the binding at distinct sites remains incompletely understood. Here, we predict the binding mode for the peptide substrate to Src tyrosine kinase using enhanced conformational sampling simulations (totaling 24 μs) and then investigate changes in the conformational landscape upon substrate binding by conducting unbiased molecular dynamics simulations (totaling 50 μs) initiated from the apo and substrate-bound forms. Unexpectedly, the peptide substrate binding significantly facilitates the transitions from active to inactive conformations in which the αC helix is directed outward, the regulatory spine is broken, and the ATP-binding domain is perturbed. We also explore an underlying residue-contact network responsible for the allosteric conformational changes. Our results are in accord with the recent experiments reporting the negative cooperativity between the peptide substrate and ATP binding to tyrosine kinases and will contribute to advancing our understanding of the regulation mechanisms for kinase activity.
期刊介绍:
Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions.
Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.