Post

Christian Dallago
@machine.learning.bio

Building on the AlphaFold Database protein-complex release at GTC, we explored ~1.7M protein pairs across 2,800+ viral proteomes. That scale lets us compare how viral proteins assemble and identify conserved interfaces.

Christian Dallago
@machine.learning.bio

From viral assemblies to how proteases recognise their substrates: starting points for vaccine and antiviral experiments. The predictions are open through AFDB, so researchers can use them without repeating the computation: alphafold.ebi.ac.uk

0 reposts2 likes

Christian Dallago
@machine.learning.bio

A huge team effort with Google DeepMind (Risha Patel), EMBL-EBI (Jennifer Fleming, Sameer Velankar) and SNU (Yewon Han, Martin Steinegger), University of Glasgow (Joe Grove), SIB (Philippe Le Mercier), CEPI (Newton Wahome) and Sungkyunkwan University (Milot Mirdita).

Christian Dallago
@machine.learning.bio

A special shoutout to Riya Narain, who spent the summer interning on my team and did so much of the work behind this release. I’m proud of what she’s contributed.