利用自动建模和侧链匹配从电子冷冻显微镜图谱中鉴定蛋白质。
Protein identification from electron cryomicroscopy maps by automated model building and side-chain matching.
机构信息
New Mexico Consortium, Los Alamos, NM 87544, USA.
Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
出版信息
Acta Crystallogr D Struct Biol. 2021 Apr 1;77(Pt 4):457-462. doi: 10.1107/S2059798321001765. Epub 2021 Mar 30.
Using single-particle electron cryo-microscopy (cryo-EM), it is possible to obtain multiple reconstructions showing the 3D structures of proteins imaged as a mixture. Here, it is shown that automatic map interpretation based on such reconstructions can be used to create atomic models of proteins as well as to match the proteins to the correct sequences and thereby to identify them. This procedure was tested using two proteins previously identified from a mixture at resolutions of 3.2 Å, as well as using 91 deposited maps with resolutions between 2 and 4.5 Å. The approach is found to be highly effective for maps obtained at resolutions of 3.5 Å and better, and to have some utility at resolutions as low as 4 Å.
使用单颗粒电子低温冷冻显微镜（cryo-EM），可以获得多个显示混合成像的蛋白质 3D 结构的重建图像。在此，研究表明，可以基于这些重建图像进行自动图谱解释，以创建蛋白质的原子模型，并将蛋白质与正确的序列进行匹配，从而对其进行鉴定。该方法使用先前从混合物中以 3.2 Å 的分辨率鉴定的两种蛋白质进行了测试，同时还使用了分辨率在 2 至 4.5 Å 之间的 91 个已存储的图谱进行了测试。该方法在分辨率为 3.5 Å 及更高的图谱中效果非常好，在分辨率低至 4 Å 的图谱中也有一定的作用。
Zotero 插件