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REDCRAFT: A computational platform using residual dipolar coupling NMR data for determining structures of perdeuterated proteins in solution

机译:Redifraft:使用残留偶极耦合NMR数据的计算平台,用于确定溶液中备败蛋白质的结构

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Nuclear Magnetic Resonance (NMR) spectroscopy is one of the three primary experimental means of characterizing macromolecular structures, including protein structures. Structure determination by solution NMR spectroscopy has traditionally relied heavily on distance restraints derived from nuclear Overhauser effect (NOE) measurements. While structure determination of proteins from NOE-based restraints is well understood and broadly used, structure determination from Residual Dipolar Couplings (RDCs) is relatively less well developed. Here, we describe the new features of the protein structure modeling program REDCRAFT and focus on the new Adaptive Decimation (AD) feature. The AD plays a critical role in improving the robustness of REDCRAFT to missing or noisy data, while allowing structure determination of larger proteins from less data. In this report we demonstrate the successful application of REDCRAFT in structure determination of proteins ranging in size from 50 to 145 residues using experimentally collected data, and of larger proteins (145 to 573 residues) using simulated RDC data. In both cases, REDCRAFT uses only RDC data that can be collected from perdeuterated proteins. Finally, we compare the accuracy of structure determination from RDCs alone with traditional NOE-based methods for the structurally novel PF.2048.1 protein. The RDC-based structure of PF.2048.1 exhibited 1.0 ? BB-RMSD with respect to a high-quality NOE-based structure. Although optimal strategies would include using RDC data together with chemical shift, NOE, and other NMR data, these studies provide proof-of-principle for robust structure determination of largely-perdeuterated proteins from RDC data alone using REDCRAFT.
机译:核磁共振(NMR)光谱是表征大分子结构的三个主要实验方法之一,包括蛋白质结构。通过溶液NMR光谱的结构测定传统上依赖于来自核传输效应(NOE)测量的距离限制。虽然从基于NOE的约束的蛋白质的结构测定得到很好的理解和广泛使用,但是来自残留的双极耦合(RDC)的结构测定相对较低。在这里,我们描述了蛋白质结构建模程序的新特征重放并专注于新的自适应抽取(AD)功能。该广告在提高缺失或嘈杂数据的鲁棒性方面发挥着关键作用,同时允许结构测定较少数据的较大蛋白质。在本报告中,我们证明了使用实验收集的数据和使用模拟RDC数据使用实验收集的数据和较大的蛋白质(145至573个残基)的蛋白质尺寸范围的蛋白质测定的成功应用。在这两种情况下,Redifcrap仅使用可以从备败蛋白质收集的RDC数据。最后,我们比较来自RDC的结构测定的准确性,单独具有基于传统的基于NOE的方法,用于结构新的PF.2048.1蛋白。基于RDC的PF.2048.1结构展出了1.0? BB-RMSD相对于高质量的基于NOE的结构。尽管最佳策略包括使用RDC数据以及化学换档,NOE和其他NMR数据,但这些研究提供了原则上,用于使用REDCRID单独从RDC数据的鲁棒结构测定基本上备杂的蛋白质。

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