Wang Ray Yu-Ruei, Kudryashev Mikhail, Li Xueming, Egelman Edward H, Basler Marek, Cheng Yifan, Baker David, DiMaio Frank
1] Graduate program in Biological Physics, Structure and Design, University of Washington, Seattle, Washington, USA. [2] Department of Biochemistry, University of Washington, Seattle, Washington, USA.
1] Focal Area Infection Biology, Biozentrum, University of Basel, Basel, Switzerland. [2] Center for Cellular Imaging and NanoAnalytics, Biozentrum, University of Basel, Basel, Switzerland.
Nat Methods. 2015 Apr;12(4):335-8. doi: 10.1038/nmeth.3287. Epub 2015 Feb 23.
We present a de novo model-building approach that combines predicted backbone conformations with side-chain fit to density to accurately assign sequence into density maps. This method yielded accurate models for six of nine experimental maps at 3.3- to 4.8-Å resolution and produced a nearly complete model for an unsolved map containing a 660-residue heterodimeric protein. This method should enable rapid and reliable protein structure determination from near-atomic-resolution cryo-electron microscopy (cryo-EM) maps.
我们提出了一种从头开始的模型构建方法，该方法将预测的主链构象与侧链对密度的拟合相结合，以准确地将序列分配到密度图中。该方法在3.3至4.8埃分辨率下，为九个实验图中的六个生成了准确的模型，并为一个包含660个残基的异源二聚体蛋白的未解析图生成了一个近乎完整的模型。该方法应能从近原子分辨率的冷冻电子显微镜（cryo-EM）图中快速可靠地确定蛋白质结构。
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