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Topology-based modeling of intrinsically disordered proteins: balancing intrinsic folding and intermolecular interactions.

机译:基于拓扑的内在无序蛋白建模:平衡内在折叠和分子间相互作用。

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Coupled binding and folding is frequently involved in specific recognition of so-called intrinsically disordered proteins (IDPs), a newly recognized class of proteins that rely on a lack of stable tertiary fold for function. Here, we exploit topology-based Go-like modeling as an effective tool for the mechanism of IDP recognition within the theoretical framework of minimally frustrated energy landscape. Importantly, substantial differences exist between IDPs and globular proteins in both amino acid sequence and binding interface characteristics. We demonstrate that established Go-like models designed for folded proteins tend to over-estimate the level of residual structures in unbound IDPs, whereas under-estimating the strength of intermolecular interactions. Such systematic biases have important consequences in the predicted mechanism of interaction. A strategy is proposed to recalibrate topology-derived models to balance intrinsic folding propensities and intermolecular interactions, based on experimental knowledge of the overall residual structure level and binding affinity. Applied to pKID/KIX, the calibrated Go-like model predicts a dominant multistep sequential pathway for binding-induced folding of pKID that is initiated by KIX binding via the C-terminus in disordered conformations, followed by binding and folding of the rest of C-terminal helix and finally the N-terminal helix. This novel mechanism is consistent with key observations derived from a recent NMR titration and relaxation dispersion study and provides a molecular-level interpretation of kinetic rates derived from dispersion curve analysis. These case studies provide important insight into the applicability and potential pitfalls of topology-based modeling for studying IDP folding and interaction in general.
机译:结合结合和折叠经常参与对所谓的内在无序蛋白(IDP)的特异性识别,IDP是一种新近识别的蛋白质,其依赖于稳定的三级折叠缺乏功能。在这里,我们利用基于拓扑的类似Go的模型作为在最小受挫的能源格局理论框架内进行IDP识别的有效工具。重要的是,在氨基酸序列和结合界面特性上,IDP和球状蛋白之间都存在实质性差异。我们证明建立为折叠蛋白设计的类似Go的模型往往会高估未结合IDP中残留结构的水平,而低估了分子间相互作用的强度。这种系统性偏见在预期的相互作用机理中具有重要的意义。基于整体残留结构水平和结合亲和力的实验知识,提出了一种策略,用于重新校准拓扑衍生的模型,以平衡固有的折叠倾向和分子间的相互作用。应用于pKID / KIX的经过校准的Go-like模型预测了结合诱导的pKID折叠的主要多步顺序途径,该途径是由KIX通过C末端以无序构象进行结合,然后结合并折叠其余C末端螺旋,最后是N末端螺旋。这种新颖的机制与最近的NMR滴定和弛豫分散研究得出的关键观察结果一致,并提供了从分散曲线分析得出的动力学速率的分子水平解释。这些案例研究为深入研究基于拓扑的模型以研究IDP折叠和交互提供了重要的见解。

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