WebSep 11, 2024 · Cryo-electron microscopy (cryo-EM) is a powerful technique for determining the structure of proteins and other macromolecular complexes at near-atomic resolution. … WebCryo-electron microscopy (cryo-EM) allows scientists to produce high-resolution, three-dimensional images of tiny molecules such as proteins. This technique works best for …
EMIG Seminar: Machine learning for determining protein structure …
WebTo our knowledge, cryoDRGN is the first neural network-based approach for cryo-EM reconstruction and the first end-to-end method for directly reconstructing continuous … WebMar 29, 2024 · Here, we present cryoDRGN, an algorithm that for the first time leverages the representation power of deep neural networks to efficiently reconstruct highly … nrcs job titles
(PDF) CryoDRGN: Reconstruction of heterogeneous structures …
WebNov 14, 2024 · A cryoDRGN model is trained by iterating through the dataset of particle images and updating neural network parameters with stochastic gradient descent on the … WebDownloading output. To visualize the output from cryoDRGN, first download the .zip file “cosmic2-cryodrgn.zip” displayed in the output file page. After downloading and … WebOct 1, 2024 · Protein structure determination from cryo-EM data requires reconstructing a 3D volume (or distribution of volumes) from many noisy and randomly oriented 2D projection images. While the standard homogeneous reconstruction task aims to recover a single static structure, recently-proposed neural and non-neural methods can reconstruct distributions … nrcs juneau wi