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通过交叉验证密度修正进行相位改进。

Phase improvement by cross-validated density modification.

作者信息

Roberts A L, Brünger A T

机构信息

The Howard Hughes Medical Institute and Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA.

出版信息

Acta Crystallogr D Biol Crystallogr. 1995 Nov 1;51(Pt 6):990-1002. doi: 10.1107/S0907444995003805.

Abstract

Solvent flattening is a useful constraint for the early stages of crystallographic structure determination. However, sometimes it fails to produce significant improvement of poor experimental or molecular-replacement phases. This often occurs as a result of incorrect parameterization. In addition, the potential of overfitting or misinterpretation of the data exists. We have implemented a cross-validated (or free) R value in order to reduce this risk. The free R value was calculated between the experimental F(obs)(h) and the calculated structure factors, F(sf)(h), obtained by inverse Fourier transformation of the solvent-flattened electron density. Because of the sensitivity of the free R value to the test set selection at low resolution complete cross-validation may be required. The reliability of this approach was assessed by examining the correlation between the free R value and the known phase errors for two test cases. A high correlation was found upon variation of the extent of negative density elimination, figure of merit estimation, and the relative weighting in the phase combination procedure. The free R value can be used to optimize parameters of density-modification procedures when independent phase error estimates are unavailable.

摘要

溶剂扁平化是晶体结构测定早期阶段一种有用的约束条件。然而,有时它无法显著改善较差的实验或分子置换相位。这通常是由于参数化不正确导致的。此外,还存在数据过度拟合或错误解释的可能性。为了降低这种风险,我们实施了交叉验证(或自由)R值。自由R值是在实验F(obs)(h)和通过溶剂扁平化电子密度的逆傅里叶变换获得的计算结构因子F(sf)(h)之间计算的。由于自由R值在低分辨率下对测试集选择敏感,可能需要进行完全交叉验证。通过检查两个测试案例中自由R值与已知相位误差之间的相关性,评估了该方法的可靠性。在改变负密度消除程度、品质因数估计以及相位组合过程中的相对权重时,发现了高度相关性。当无法获得独立的相位误差估计时,自由R值可用于优化密度修正程序的参数。

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