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De novo protein structure generation from incomplete chemical shift assignments

机译:从头开始从不完整的化学位移分配蛋白质结构生成

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NMR chemical shifts provide important local structural information for proteins. Consistent structure generation from NMR chemical shift data has recently become feasible for proteins with sizes of up to 130 residues, and such structures are of a quality comparable to those obtained with the standard NMR protocol. This study investigates the influence of the completeness of chemical shift assignments on structures generated from chemical shifts. The Chemical-Shift-Rosetta (CS-Rosetta) protocol was used for de novo protein structure generation with various degrees of completeness of the chemical shift assignment, simulated by omission of entries in the experimental chemical shift data previously used for the initial demonstration of the CS-Rosetta approach. In addition, a new CS-Rosetta protocol is described that improves robustness of the method for proteins with missing or erroneous NMR chemical shift input data. This strategy, which uses traditional Rosetta for pre-filtering of the fragment selection process, is demonstrated for two paramagnetic proteins and also for two proteins with solid-state NMR chemical shift assignments.
机译:NMR化学位移为蛋白质提供了重要的局部结构信息。最近,从NMR化学位移数据生成一致的结构已变得可行,这种结构可用于最大130个残基大小的蛋白质,并且这种结构的质量可与标准NMR协议获得的结构相比。这项研究调查了化学位移分配的完整性对化学位移产生的结构的影响。化学位移-罗塞塔(CS-Rosetta)协议用于从头开始生成具有不同程度化学位移分配的蛋白质结构,通过省略先前用于初始证明的实验化学位移数据中的条目来模拟CS-Rosetta方法。另外,描述了一种新的CS-Rosetta协议,该协议提高了具有丢失或错误NMR化学位移输入数据的蛋白质的方法的鲁棒性。这种策略使用传统的Rosetta进行片段选择过程的预过滤,已针对两种顺磁性蛋白质以及具有固态NMR化学位移分配的两种蛋白质得到了证明。

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