Chojnowski Grzegorz, Bochtler Matthias
MPG-PAN Junior Research Group, International Institute of Molecular and Cell Biology, 4 Ks. Trojdena Street, 02-109 Warsaw, Poland.
Acta Crystallogr D Biol Crystallogr. 2010 Jun;66(Pt 6):643-53. doi: 10.1107/S090744491000781X. Epub 2010 May 15.
The program DIBER (an acronym for DNA and FIBER) requires only native diffraction data to predict whether a crystal contains protein, B-form DNA or both. In standalone mode, the classification is based on the cube root of the reciprocal unit-cell volume and the largest local average of diffraction intensities at 3.4 A resolution. In combined mode, the Phaser rotation-function score (for the 3.4 A shell and a canonical B-DNA search model) is also taken into account. In standalone (combined) mode, DIBER classifies 87.4 +/- 0.2% (90.2 +/- 0.3%) of protein, 69.1 +/- 0.3% (78.8 +/- 0.3%) of protein-DNA and 92.7 +/- 0.2% (90.0 +/- 0.2%) of DNA crystals correctly. Reliable predictions with a correct classification rate above 80% are possible for 36.8 +/- 1.0% (60.2 +/- 0.4%) of the protein, 43.6 +/- 0.5% (59.8 +/- 0.3%) of the protein-DNA and 83.3 +/- 0.3% (82.6 +/- 0.4%) of the DNA structures. Surprisingly, selective use of the diffraction data in the 3.4 A shell improves the overall success rate of the combined-mode classification. An open-source CCP4/CCP4i-compatible version of DIBER is available from the authors' website at http://www.iimcb.gov.pl/diber and is subject to the GNU Public License.
DIBER程序(DNA和纤维的首字母缩写)仅需天然衍射数据就能预测晶体中是否含有蛋白质、B型DNA或两者皆有。在独立模式下,分类基于倒易晶胞体积的立方根以及3.4埃分辨率下衍射强度的最大局部平均值。在组合模式下,还会考虑Phaser旋转函数得分(针对3.4埃壳层和标准B-DNA搜索模型)。在独立(组合)模式下,DIBER能正确分类87.4±0.2%(90.2±0.3%)的蛋白质晶体、69.1±0.3%(78.8±0.3%)的蛋白质-DNA晶体以及92.7±0.2%(90.0±0.2%)的DNA晶体。对于36.8±1.0%(60.2±0.4%)的蛋白质结构、43.6±0.5%(59.8±0.3%)的蛋白质-DNA结构以及83.3±0.3%(82.6±0.4%)的DNA结构,有可能做出正确分类率高于80%的可靠预测。令人惊讶的是,选择性使用3.4埃壳层中的衍射数据可提高组合模式分类的总体成功率。DIBER的开源CCP4/CCP4i兼容版本可从作者网站http://www.iimcb.gov.pl/diber获取,并遵循GNU通用公共许可证。