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Prediction of protein orientation upon immobilization on biological and nonbiological surfaces

机译:固定在生物和非生物表面上时蛋白质取向的预测

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We report on a rapid simulation method for predicting protein orientation on a surface based on electrostatic interactions. New methods for predicting protein immobilization are needed because of the increasing use of biosensors and protein microarrays, two technologies that use protein immobilization onto a solid support, and because the orientation of an immobilized protein is important for its function. The proposed simulation model is based on the premise that the protein interacts with the electric field generated by the surface, and this interaction defines the orientation of attachment. Results of this model are in agreement with experimental observations of immobilization of mitochondrial creatine kinase and type Ⅰ hexokinase on biological membranes. The advantages of our method are that it can be applied to any protein with a known structure; it does not require modeling of the surface at atomic resolution and can be run relatively quickly on readily available computing resources. Finally, we also propose an orientation of membrane-bound cytochrome c, a protein for which the membrane orientation has not been unequivocally determined.
机译:我们报告了一种基于静电相互作用预测表面蛋白质取向的快速模拟方法。由于越来越多地使用生物传感器和蛋白质微阵列,这两种将蛋白质固定在固相支持物上的技术,并且固定蛋白质的方向对其功能很重要,因此需要预测蛋白质固定的新方法。所提出的仿真模型基于蛋白质与表面产生的电场相互作用的前提,这种相互作用定义了附着的方向。该模型的结果与将线粒体肌酸激酶和Ⅰ型己糖激酶固定在生物膜上的实验观察结果一致。我们方法的优点是可以应用于结构已知的任何蛋白质。它不需要以原子分辨率对表面建模,并且可以在随时可用的计算资源上相对快速地运行。最后,我们还提出了与膜结合的细胞色素c的取向,该蛋白的膜取向尚未明确确定。

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