Tickle I J, Laskowski R A, Moss D S
Department of Crystallography, Birkbeck College, Malet Street, London WC1E 7HX, England.
Acta Crystallogr D Biol Crystallogr. 1998 Mar 1;54(Pt 2):243-52. doi: 10.1107/s090744499701041x.
Faster workstations with larger memories are making error estimation from full-matrix least-squares refinement a more practicable technique in protein crystallography. Using minimum variance weighting, estimated standard deviations of atomic positions have been calculated for two eye lens proteins from the inverse of a least-squares normal matrix which was full with respect to the coordinate parameters. gammaB-crystallin, refined at 1.49 A yielded average errors in atomic positions which ranged from 0.05 A for main-chain atoms to 0.27 A for unrestrained water molecules. The second structure used in this work was that of betaB2-crystallin refined at 2.1 A resolution where the corresponding average errors were 0.08 and 0.35 A, respectively. The relative errors in atomic positions are dependent on the number and kinds of restraints used in the refinements. It is also shown that minimum variance weighting leads to mean-square deviations from target geometry in the refined structures which are smaller than the variances used in the distance weighting.
拥有更大内存的更快工作站,使得在蛋白质晶体学中通过全矩阵最小二乘法精修进行误差估计成为一种更可行的技术。使用最小方差加权法,从关于坐标参数完整的最小二乘正规矩阵的逆矩阵中,计算了两种眼晶状体蛋白原子位置的估计标准偏差。在1.49 Å分辨率下精修的γB-晶状体蛋白,其原子位置的平均误差范围为主链原子0.05 Å至无约束水分子0.27 Å。这项工作中使用的第二个结构是在2.1 Å分辨率下精修的βB2-晶状体蛋白,其相应的平均误差分别为0.08 Å和0.35 Å。原子位置的相对误差取决于精修中使用的约束的数量和种类。研究还表明,最小方差加权导致精修结构中与目标几何形状的均方偏差小于距离加权中使用的方差。