Suppr超能文献

利用赝接触位移进行蛋白质结构精修的自动化迭代方法。

An automated iterative approach for protein structure refinement using pseudocontact shifts.

机构信息

Department of Chemistry, University of Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland.

Institute of Biophysical Chemistry and Center for Biomolecular Magnetic Resonance, Goethe University Frankfurt, Max-von-Laue-Straße 9, 60438, Frankfurt am Main, Germany.

出版信息

J Biomol NMR. 2021 Sep;75(8-9):319-334. doi: 10.1007/s10858-021-00376-8. Epub 2021 Aug 2.

Abstract

NMR structure calculation using NOE-derived distance restraints requires a considerable number of assignments of both backbone and sidechains resonances, often difficult or impossible to get for large or complex proteins. Pseudocontact shifts (PCSs) also play a well-established role in NMR protein structure calculation, usually to augment existing structural, mostly NOE-derived, information. Existing refinement protocols using PCSs usually either require a sizeable number of sidechain assignments or are complemented by other experimental restraints. Here, we present an automated iterative procedure to perform backbone protein structure refinements requiring only a limited amount of backbone amide PCSs. Already known structural features from a starting homology model, in this case modules of repeat proteins, are framed into a scaffold that is subsequently refined by experimental PCSs. The method produces reliable indicators that can be monitored to judge about the performance. We applied it to a system in which sidechain assignments are hardly possible, designed Armadillo repeat proteins (dArmRPs), and we calculated the solution NMR structure of YMA, a dArmRP containing four sequence-identical internal modules, obtaining high convergence to a single structure. We suggest that this approach is particularly useful when approximate folds are known from other techniques, such as X-ray crystallography, while avoiding inherent artefacts due to, for instance, crystal packing.

摘要

使用基于 NOE 的距离约束进行 NMR 结构计算需要对大量的骨架和侧链共振进行分配,这对于大型或复杂的蛋白质来说通常是困难或不可能的。伪接触位移(PCSs)在 NMR 蛋白质结构计算中也起着既定的作用,通常用于补充现有的结构信息,这些信息主要来自 NOE。使用 PCSs 的现有精修协议通常需要相当数量的侧链分配,或者由其他实验约束来补充。在这里,我们提出了一种自动迭代过程,用于执行仅需要有限数量的骨架酰胺 PCSs 的骨架蛋白质结构精修。从起始同源模型(在这种情况下是重复蛋白的模块)中已经知道的结构特征被框定为支架,然后通过实验 PCS 对其进行精修。该方法产生了可靠的指标,可以用来监测性能。我们将其应用于一个几乎不可能进行侧链分配的系统,设计了 Armadillo 重复蛋白(dArmRPs),并计算了包含四个序列相同内部模块的 dArmRP YMA 的溶液 NMR 结构,得到了高收敛到单个结构。我们认为,当从其他技术(例如 X 射线晶体学)中已知近似折叠时,这种方法特别有用,同时避免了由于例如晶体堆积而产生的固有伪影。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4185/8473369/29809d8043c1/10858_2021_376_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验