I spent this Labor Day reflecting on how fortunate I am to work with such a fantastic group of graduate student workers and post-doctoral researchers (1/3).

So excited to share that an expanded version of Barrett Powell's #tomoDRGN manuscript is now live at Nature Methods - huge congrats to Barrett on getting this out!! Read more here: rdcu.be/dADZC.

Read about an amazing new cryo-ET data processing tool developed by Barrett Powell from the Joey Davis @[email protected]! Check out my news article on this work and the publication out now in Nature Methods. biology.mit.edu/davis-lab-expl… nature.com/articles/s4159…

Thrilled to share our preprint on the structure of a nautilus-like assembly of membrane proteins, HflK/C, that regulate the FtsH AAA protease activity, a key component of bacterial inner membrane protein degradation machinery. (1/n) bit.ly/4dotfpJ

I’m excited to share our latest preprint, where we showcase the development of two computational tools to facilitate the analysis of highly heterogeneous cryo-EM datasets. (1/7) biorxiv.org/content/10.110…

New work from our lab by the amazing Laurel Kinman, Maria V. Carreira, and Barrett Powell here: biorxiv.org/content/10.110…. Our lab has found SIREn super useful, and I expect you will too! Also, check out the soon-to-be-announced Kinman lab UC San Francisco...exciting days ahead!!!

How can we effectively analyze the heterogeneity in cryo-EM volume ensembles without relying on atomic models?Cell Press Massachusetts Institute of Technology (MIT) "Automated model-free analysis of cryo-EM volume ensembles with SIREn" • SIREn (Subunit Inference from Real-space Ensembles) is a new automated