备注：Emap2sec实现了一种基于CNN的算法，具有在整个3D图谱中执行局部结构检测的优势。EMBuild不仅在SPA电镜图谱（4-8 Å）上进行了评估，还在通过亚断层平均获得的图谱（4-9 Å）上进行了评估，并在将可靠的原子结构构建到中等分辨率3D图谱中显示出优异的性能。5. 冷冻电镜技术与人工智能的融合发展 冷冻电镜技...
In addition, we also showed that some of the most recently proposed cryo-EM map post-processing algorithms can attenuate map anisotropy, thus offering alternative visualization opportunities for cases affected by moderate levels of preferential orientations.Sanchez-Garcia, Ruben...
Main Idea: Use 3D GAN to produce super-resolution 3D EM maps from an input low-resolution map Dataset: trained with dataset of pairs of an experimental EM map coupled with a corresponding high-resolution 3D simulated EM map that generated from the associated protein atomic structures. Generator:...
https://www.youtube.com/watch?v=Asp2Sg-AN-gWe show how to start building an atomic model into a cryoEM map using an atomic structure from the AlphaFold database. We fit the atomic model into the map a, 视频播放量 62、弹幕量 0、点赞数 5、投硬币枚数 1、收
density-modification procedure was applied to a set of 104 datasets and improved map-model correlation and increased the visibility of details in many of the maps. The procedure requires two unmasked half-maps and a sequence file or other source of information on the volume of the macromolecule ...
map10. Thus, local sharpening methods have been proposed to overcome these limitations11,12. LocScale approach11compares radial averages of structure factor amplitudes inside moving windows between the experimental and the atomic density maps. After, the method modifies locally the map amplitudes of ...
Post-process input map path/to/inputVol.mrc and save it at path/to/outputVol.mrc using high resolution deep learning model located in path/to/deep/learningModel deepemhancer -p highRes --deepLearningModelDir path/to/deep/learningModel -i path/to/inputVol.mrc -o path/to/outputVol.mrc ...
This repository provides a list of the state-of-the-art methods on (i) atomic model building from cryo-EM density maps, (ii) cryo-EM map sharpening, and (iii) de novo protein structure prediction. These methods leverage a combination of machine learning, deep learning, and other optimization...
We present an automatic algorithm to segment all the local and global asymmetric units of a three-dimensional density map of icosahedral viruses. This approach is readily applicable to the structural analysis of a broad range of virus structures that are reconstructed using cryo-electron microscopy (...
DomainFit: Identification of protein domains in cryo-EM maps at intermediate resolution using AlphaFold2-predicted models DomainFit: Identification of protein domains in cryo-EM maps at intermediate resolution using AlphaFold2-predicted modelsdoi:10.1016/j.str.2024.04.017AlphaFold... J Gao,M Tong,C ...