Simin Mikhail, Irausquin Stephanie, Cole Casey A, Valafar Homayoun
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, 29208, USA.
J Biomol NMR. 2014 Dec;60(4):241-64. doi: 10.1007/s10858-014-9871-x. Epub 2014 Nov 18.
Within the past two decades, there has been an increase in the acquisition of residual dipolar couplings (RDC) for investigations of biomolecular structures. Their use however is still not as widely adopted as the traditional methods of structure determination by NMR, despite their potential for extending the limits in studies that examine both the structure and dynamics of biomolecules. This is in part due to the difficulties associated with the analysis of this information-rich data type. The software analysis tool REDCRAFT was previously introduced to address some of these challenges. Here we describe and evaluate a number of additional features that have been incorporated in order to extend its computational and analytical capabilities. REDCRAFT's more traditional enhancements integrate a modified steric collision term, as well as structural refinement in the rotamer space. Other, non-traditional improvements include: the filtering of viable structures based on relative order tensor estimates, decimation of the conformational space based on structural similarity, and forward/reverse folding of proteins. Utilizing REDCRAFT's newest features we demonstrate de-novo folding of proteins 1D3Z and 1P7E to within less than 1.6 Å of the corresponding X-ray structures, using as many as four RDCs per residue and as little as two RDCs per residue, in two alignment media. We also show the successful folding of a structure to less than 1.6 Å of the X-ray structure using {C(i-1)-N(i), N(i)-H(i), and C(i-1)-H(i)} RDCs in one alignment medium, and only {N(i)-H(i)} in the second alignment medium (a set of data which can be collected on deuterated samples). The program is available for download from our website at http://ifestos.cse.sc.edu .
在过去二十年中,用于生物分子结构研究的剩余偶极耦合(RDC)的获取有所增加。然而,尽管它们有潜力扩展研究生物分子结构和动力学的极限,但与传统的核磁共振结构测定方法相比,其应用仍未得到广泛采用。部分原因是与分析这种信息丰富的数据类型相关的困难。软件分析工具REDCRAFT之前已被引入以应对其中一些挑战。在这里,我们描述并评估了为扩展其计算和分析能力而纳入的许多其他功能。REDCRAFT更传统的增强功能包括整合修改后的空间碰撞项以及在旋转异构体空间中的结构优化。其他非传统的改进包括:基于相对序张量估计对可行结构进行过滤,基于结构相似性对构象空间进行抽取,以及蛋白质的正向/反向折叠。利用REDCRAFT的最新功能,我们展示了蛋白质1D3Z和1P7E在两种对齐介质中从头折叠至与相应X射线结构相差不到1.6 Å的程度,每个残基使用多达四个RDC,最少使用两个RDC。我们还展示了在一种对齐介质中使用{C(i - 1)-N(i)、N(i)-H(i)和C(i - 1)-H(i)} RDC,在第二种对齐介质中仅使用{N(i)-H(i)}(一组可在氘代样品上收集的数据)成功将一个结构折叠至与X射线结构相差不到1.6 Å的程度。该程序可从我们的网站http://ifestos.cse.sc.edu下载。