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Uncovering structural ensembles from single-particle cryo-EM data using cryoDRGN - Nature Protocols

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Uncovering structural ensembles from single-particle cryo-EM data using cryoDRGN - Nature Protocols

Single-particle cryogenic electron microscopy (cryo-EM) has emerged as a powerful technique to visualize the structural landscape sampled by a protein complex. However, algorithmic and computational bottlenecks in analyzing heterogeneous cryo-EM datasets have prevented the full realization of this potential. CryoDRGN is a machine learning system for heterogeneous cryo-EM reconstruction of proteins and protein complexes from single-particle cryo-EM data.

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Uncovering structural ensembles from single-particle cryo-EM data using cryoDRGN - Nature Protocols

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Uncovering structural ensembles from single-particle cryo-EM data using cryoDRGN - Nature Protocols

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