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PONDEROSA, an automated 3D-NOESY peak picking program, enables automated protein structure determination

机译:PONDEROSA是一种自动3D-NOESY峰提取程序,可实现自动蛋白质结构确定

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摘要

Summary: PONDEROSA (Peak-picking Of Noe Data Enabled by Restriction of Shift Assignments) accepts input information consisting of a protein sequence, backbone and sidechain NMR resonance assignments, and 3D-NOESY (13C-edited and/or 15N-edited) spectra, and returns assignments of NOESY crosspeaks, distance and angle constraints, and a reliable NMR structure represented by a family of conformers. PONDEROSA incorporates and integrates external software packages (TALOS+, STRIDE and CYANA) to carry out different steps in the structure determination. PONDEROSA implements internal functions that identify and validate NOESY peak assignments and assess the quality of the calculated three-dimensional structure of the protein. The robustness of the analysis results from PONDEROSA's hierarchical processing steps that involve iterative interaction among the internal and external modules. PONDEROSA supports a variety of input formats: SPARKY assignment table (.shifts) and spectrum file formats (.ucsf), XEASY proton file format (.prot), and NMR-STAR format (.star). To demonstrate the utility of PONDEROSA, we used the package to determine 3D structures of two proteins: human ubiquitin and Escherichia coli iron-sulfur scaffold protein variant IscU(D39A). The automatically generated structural constraints and ensembles of conformers were as good as or better than those determined previously by much less automated means.
机译:简介:PONDEROSA(通过限制移位分配实现Noe数据的峰值拾取)接受输入信息,包括蛋白质序列,骨架和侧链NMR共振分配以及3D-NOESY(13C编辑和/或15N编辑)光谱,并返回NOESY峰峰值,距离和角度约束以及由一系列构象异构体表示的可靠NMR结构的分配。 PONDEROSA集成并集成了外部软件包(TALOS +,STRIDE和CYANA),以执行结构确定中的不同步骤。 PONDEROSA执行内部功能,以识别和验证NOESY峰分配并评估所计算蛋白质的三维结构的质量。分析的鲁棒性来自PONDEROSA的分层处理步骤,这些步骤涉及内部和外部模块之间的迭代交互。 PONDEROSA支持多种输入格式:SPARKY分配表(.shifts)和光谱文件格式(.ucsf),XEASY质子文件格式(.prot)和NMR-STAR格式(.star)。为了证明PONDEROSA的实用性,我们使用该软件包确定了两种蛋白的3D结构:人泛素和大肠杆菌铁硫骨架蛋白变体IscU(D39A)。自动生成的构象约束和构象整合体与以前通过少得多的自动化手段确定的约束相同或更好。

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