
Rado Danev
@radodanev
Hi
ID: 794213608221802497
https://danevlab.m.u-tokyo.ac.jp 03-11-2016 16:24:14
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Excited to share our cryo-ET dataset: 1800+ tomos from 300+lamellae. Huge team work from team Ben Engel, team Max Planck Institute of Biochemistry (MPIB) & my team Microscopy & Spectroscopy + team EMDB - EMPIAR @EBI. We hope resources like this will be useful & push the frontier in cellular structure biology🚀#CryoET



Finally- a book on cryo-electron tomography, written by leading experts! Edited by the one and only Friedrich Forster and myself! link.springer.com/book/10.1007/9…

This is actually democratising cryoEM! Brilliant work by Hari Venugopal Ramaciotti Centre for Cryo EM @GeorgRamm Sub 3 angstrom on a 120 kV technai with a LaB6 source! Read it! It's a masterpiece biorxiv.org/content/10.110…

We present DRGN-AI for fast, ab initio cryo-EM reconstruction! * learns a neural field from unposed images, * designed for single-shot reconstruction of unfiltered datasets, * finds new states missed by prior approaches! Teamwork led by Ellen Zhong drgnai.cs.princeton.edu 1/




Check out our latest work! 👇We leverage pretrained protein generative models (here Chroma Generate:Biomedicines ) as a prior for inverse problems in protein space (e.g. structure completion, distance contraints, cryo-EM model building). ❄️🏗️ Paper: arxiv.org/abs/2406.04239

We are happy to announce the public release of EMhub, a web platform designed to support the operations of a scientific facility, enabling easy management of users, instruments, bookings, and project tracking. EMhub was unveiled at the #ACA2024 last week by JM de la Rosa Trevin



Big congrats to our fearless leader! Well deserved Patrick M Sexton

CryoDRGN-ET❄️🐉 is published in Nature Methods! We combine neural fields and generative modeling to reveal the structural heterogeneity of protein complexes *in situ*! So excited to see this out, and huge congrats to Ramya Rangan, Ryan Feathers and team! nature.com/articles/s4159…




SPACEtomo is officially published! :P nature.com/articles/s4159… I'm so grateful for all the support I received especially from Rado Danev and everyone who shared their data with me! And of course thanks to David Mastronarde and the amazing #SerialEM for making it possible!

