Joseph (Joey) Davis: ”Visualizing ribosome assembly through cryo-EM, cryo-ET, and deep learning”
Date: 30. January 2024Time: 1:00 – 2:00Location: 106 Stanley Hall
Macromolecular machines such as the ribosome undergo massive structural changes as they assemble and function. While we have long appreciated such structural changes exist, experimentally visualizing and analyzing large ensembles of these structures is challenging. Here, I briefly describe cryoDRGN, a software package we developed to analyze structural heterogeneity in protein complexes visualized by cryo-electron microscopy (cryo-EM). This approach, which uses a purpose-built neural network based on a variational autoencoder, maps individual particle images to a low-dimensional latent space, effectively sorting particles based on their structure and allowing users to generate ensembles of hundreds-to-thousands of three-dimensional structures using the trained networks. I detail our application of cryoDRGN to understand bacterial ribosome biogenesis generally and, specifically, how bacterial assembly cofactors including methyltransferases and RNA helicases guide assembly of the large and small ribosomal subunits.
106 Stanley Hall