Model building in high-resolution #cryoEM maps is more fun when it's a protein purified from its native source and nobody knows the correct sequence. 😅

#ModelAngelo to the rescue!

Reading supplementary information of papers sometimes gives nice surprises: I just noticed that two of my EMDB entries were used to train #BlushRegularization in #RELION 😮

So I could not resist the curiosity to check the list of EMDB entries used to train #ModelAngelo, but this one has none of my entries.

#CryoEM

This is fantastic to hear! 🥳 The next version, #ModelAngelo 1.0, will be even better at this than the current version.
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RT @Kaelberviridae
@SjorsScheres @jamaliki1998 We recently discovered a novel virus by cryoEM. Although we figured out its relatives by manual inspection of the map, today we retrospectively analyzed it with #ModelAngelo and indeed this was as effective as next-gen sequencing in determining the closest relative
https://twitter.com/Kaelberviridae/status/1630331496405008384

Finally got around to trying #modelangelo - wow.
Three chains build into a boxed asymmetric unit of a virus capsid resolved to 2.5 angstroms. Some minor tinkering to get to a pretty comprehensive and accurate model ready for refinement - and fast. Thanks @SjorsScheres

Ok, finally found some time to play with #ModelAngelo
@SjorsScheres I’m assuming that for homooligomers I just repeat the seq in the fasta file? #cryoEM #GNN

By @jgreener64 and @jamaliki1998 (also #ModelAngelo): fast protein searches using graph embeddings! 🥳
https://www.biorxiv.org/content/10.1101/2022.11.28.518224v1