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Heuristic Refinement Method for the Derivation of Protein Solution Structures: Validation on Cytochrome B562

机译:蛋白质溶液结构的启发式细化方法:在细胞色素B562上的验证

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摘要

A method is described for determining the family of protein structures compatible with solution data obtained primarily from nuclear magnetic resonance (NMR) spectroscopy. Starting with all possible conformations, the method systematically excludes conformations until the remaining structures are only those compatible with the data. The apparent computational intractability of this approach is reduced by assembling the protein in pieces, by considering the protein at several levels of abstraction, by utilizing constraint satisfaction methods to consider only a few atoms at a time, and by utilizing artificial intelligence methods of heuristic control to decide which actions will exclude the most conformations. Example results are presented for simulated NMR data from the known crystal structure of cytochrome b562 (103 residues). For 10 sample backbones an average root-mean-square deviation from the crystal of 4.1 A was found for all alpha-carbon atoms and 2.8 A for helix alpha-carbons alone. The 10 backbones define the family of all structures compatible with the data and provide nearly correct starting structures for adjustment by any of the current structure determination methods.
机译:描述了一种确定与主要从核磁共振(NMR)光谱获得的溶液数据兼容的蛋白质结构家族的方法。从所有可能的构象开始,该方法系统地排除构象,直到其余结构仅是与数据兼容的那些。通过将蛋白质分段组装,通过在多个抽象级别上考虑蛋白质,通过使用约束满足方法一次仅考虑几个原子,以及通过启发式控制的人工智能方法,可以降低这种方法的明显计算难点。决定哪些动作将排除大多数构象。给出了来自细胞色素b562的已知晶体结构(103个残基)的模拟NMR数据的示例结果。对于10个样品主链,发现所有α-碳原子与4.1 A晶体的平均均方根偏差,而对于螺旋α-碳仅发现2.8 A的晶体均方根偏差。 10个主干定义了与数据兼容的所有结构的族,并提供了几乎正确的起始结构以通过任何当前的结构确定方法进行调整。

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