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首页> 外文期刊>Proteins: Structure, Function, and Genetics >Refinement of NMR-determined protein structures with database derived mean-force potentials.
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Refinement of NMR-determined protein structures with database derived mean-force potentials.

机译:用数据库推导的平均力势细化NMR确定的蛋白质结构。

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摘要

Due to the limited distance data available from the experiments, the structures determined by NMR Spectroscopy may not always be as accurate as desired. Further refinement of the structures is often required and sometimes critical. With the increase of high quality protein structures determined and deposited in PDB Data Bank, commonly shared protein conformational properties can be extracted based on the statistical distributions of the properties in the structural database and used to improve the outcomes of the NMR-determined structures. Here we examine the distributions of protein interatomic distances in known protein structures. We show that based on these distributions, a set of mean-force potentials can be defined for proteins and employed to refine the NMR-determined structures. We report the test results on 70 NMR-determined structures and compare the potential energy, the Ramachandran plot, and the ensemble RMSD of the structures refined with and without using the derived mean-force potentials.
机译:由于从实验中获得的距离数据有限,因此通过NMR光谱法确定的结构可能并不总是像所需的那样精确。通常需要对结构进行进一步的改进,有时甚至是至关重要的。随着PDB数据库中确定并存放的高质量蛋白质结构的增加,可以基于结构数据库中属性的统计分布来提取常用的蛋白质构象属性,并用于改善NMR确定的结构的结果。在这里,我们检查了已知蛋白质结构中蛋白质原子间距离的分布。我们表明,基于这些分布,可以为蛋白质定义一组平均力势,并将其用于完善NMR确定的结构。我们报告了70个NMR确定的结构的测试结果,并比较了使用和不使用导出的平均力势精炼的结构的势能,Ramachandran图和整体RMSD。

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