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Biophysical characterization of a protein for structure comparison: methods for identifying insulin structural changes

机译:用于结构比较的蛋白质的生物物理表征:识别胰岛素结构变化的方法

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Although protein structure has been studied for many decades it remains the case that we cannot state with confidence whether two samples have the same molecular structure, particularly in solution. The increasing number of biosimilar biopharmaceutical drugs that are being tested means this is not an academic exercise. In this work we consider how four well-established techniques: dynamic light scattering (DLS), circular dichroism (CD), nuclear magnetic resonance spectroscopy (NMR), and molecular modelling can be combined to provide information about the supposedly well-understood protein insulin. A goal of this work was to establish a systematic means of detecting differences between insulin samples as a function of pH, temperature, and the presence or absence of zinc, all of which are known to change the oligomerisation state and to affect molecular structure. We used the recently developed Secondary Structure Neural Network (SSNN) circular dichroism algorithm to facilitate analysis of the CD spectra.
机译:尽管已经对蛋白质结构进行了数十年的研究,但仍然无法确定两个样品是否具有相同的分子结构,尤其是在溶液中时,我们仍然不能自信地指出。越来越多的正在测试的生物仿制药生物制药药物意味着这不是学术活动。在这项工作中,我们将考虑如何结合四种公认的技术:动态光散射(DLS),圆二色性(CD),核磁共振波谱(NMR)和分子建模来提供有关所谓的众所周知的蛋白胰岛素的信息。这项工作的目标是建立一种系统的方法来检测胰岛素样品之间的差异,该差异是pH,温度和锌的存在与否的函数,所有这些已知都会改变低聚状态并影响分子结构。我们使用了最近开发的二级结构神经网络(SSNN)圆二色性算法来促进CD光谱的分析。

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