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The PROSECCO server for chemical shift predictions in ordered and disordered proteins

机译:用于有序和无序蛋白质的化学转换预测的ProSecco服务器

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摘要

The chemical shifts measured in solution-state and solid-state nuclear magnetic resonance (NMR) are powerful probes of the structure and dynamics of protein molecules. The exploitation of chemical shifts requires methods to correlate these data with the protein structures and sequences. We present here an approach to calculate accurate chemical shifts in both ordered and disordered proteins using exclusively the information contained in their sequences. Our sequence-based approach, protein sequences and chemical shift correlations (PROSECCO), achieves the accuracy of the most advanced structure-based methods in the characterization of chemical shifts of folded proteins and improves the state of the art in the study of disordered proteins. Our analyses revealed fundamental insights on the structural information carried by NMR chemical shifts of structured and unstructured protein states.
机译:在溶液 - 状态和固态核磁共振(NMR)中测量的化学位移是蛋白质分子结构和动态的强大探针。 化学变换的开发需要方法以将这些数据与蛋白质结构和序列相关联。 我们在此提供一种方法来计算有序和无序蛋白的准确化学位移,仅使用其序列中包含的信息。 我们基于序列的方法,蛋白质序列和化学换档相关性(PROSECCO),实现了最先进的基于结构的方法的准确性,在折叠蛋白的化学变化中的表征中的表征,并改善了蛋白质蛋白质研究中的最新技术。 我们的分析揭示了对结构化和非结构化蛋白质蛋白质态的NMR化学转移携带的结构信息的根本洞察。

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