Liu H, Spielmann H P, Ulyanov N B, Wemmer D E, James T L
Department of Pharmaceutical Chemistry, University of California, San Francisco 94143-0446, USA.
J Biomol NMR. 1995 Dec;6(4):390-402. doi: 10.1007/BF00197638.
The effect of experimental and integration errors on the calculation of interproton distances from NOE intensities is examined. It is shown that NOE intensity errors can have a large impact on the distances determined. When multiple spin ('spin diffusion') effects are significant, the calculated distances are often underestimated, even when using a complete relaxation matrix analysis. In this case, the bias of distances to smaller values is due to the random errors in the NOE intensities. We show here that accurate upper and lower bounds of the distances can be obtained if the intensity errors are properly accounted for in the complete relaxation matrix calculations, specifically the MARDIGRAS algorithm. The basic MARDIGRAS algorithm has been previously described [Borgias, B.A. and James, T.L. (1990) J. Magn. Reson., 87, 475-487]. It has been shown to provide reasonably good interproton distance bounds, but experimental errors can compromise the quality of the resulting restraints, especially for weak cross peaks. In a new approach introduced here, termed RANDMARDI (random error MARDIGRAS), errors due to random noise and integration errors are mimicked by the addition of random numbers from within a specified range to each input intensity. Interproton distances are then calculated for the modified intensity set using MARDIGRAS. The distribution of distances that define the upper and lower distance bounds is obtained by using N randomly modified intensity sets. RANDMARDI has been used in the solution structure determination of the interstrand cross-link (XL) formed between 4'-hydroxymethyl-4,5',8-trimethylpsoralen (HMT) and the DNA oligomer d(5'-GCGTACGC-3')2 [Spielmann, H.P. et al. (1995) Biochemistry, 34, 12937-12953]. RANDMARDI generates accurate distances bounds from the experimental NOESY cross-peak intensities for the fixed (known) interproton distances in XL. This provides an independent internal check for the ability of RANDMARDI to accurately fit the experimental data. The XL structure determined using RANDMARDI-generated restraints is in good agreement with other biophysical data that indicate that there is no bend introduced into the DNA by the cross-link. In contrast, isolated spin-pair approximation calculations give distance restraints that, when applied in a restrained molecular dynamics protocol, produce a bent structure.
研究了实验误差和积分误差对根据核Overhauser效应(NOE)强度计算质子间距离的影响。结果表明,NOE强度误差会对所确定的距离产生很大影响。当多个自旋(“自旋扩散”)效应显著时,即使使用完整的弛豫矩阵分析,计算出的距离也常常被低估。在这种情况下,距离偏向较小值是由于NOE强度中的随机误差所致。我们在此表明,如果在完整的弛豫矩阵计算中,特别是在MARDIGRAS算法中适当考虑强度误差,就可以获得距离的准确上限和下限。基本的MARDIGRAS算法先前已有描述[博尔贾斯,B.A.和詹姆斯,T.L.(1990年)《磁共振杂志》,87卷,475 - 487页]。已证明它能提供相当不错的质子间距离界限,但实验误差会影响所得约束的质量,尤其是对于弱交叉峰。在此引入的一种新方法,称为RANDMARDI(随机误差MARDIGRAS),通过向每个输入强度添加指定范围内的随机数来模拟随机噪声和积分误差引起的误差。然后使用MARDIGRAS为修改后的强度集计算质子间距离。通过使用N个随机修改的强度集来获得定义距离上限和下限的距离分布。RANDMARDI已用于确定4'-羟甲基-4,5',8-三甲基补骨脂素(HMT)与DNA寡聚物d(5'-GCGTACGC-3')2之间形成的链间交联(XL)的溶液结构[施皮尔曼,H.P.等人(1995年)《生物化学》,34卷,12937 - 12953页]。对于XL中固定(已知)的质子间距离,RANDMARDI从实验NOESY交叉峰强度生成准确的距离界限。这为RANDMARDI准确拟合实验数据的能力提供了一个独立的内部检验。使用RANDMARDI生成的约束确定的XL结构与其他生物物理数据高度一致,这些数据表明交联不会在DNA中引入弯曲。相比之下,孤立自旋对近似计算给出的距离约束,当应用于受限分子动力学协议时,会产生一个弯曲的结构。