﻿id	summary	reporter	owner	description	type	status	priority	milestone	component	version	resolution	keywords	cc	blockedby	blocking	notify_on_close	platform	project
15135	AlphaFold3 and ChimeraX	okovalevskiy@…	Tom Goddard	"{{{
Dear ChimeraX team,

I hope you are keeping well. I would like to take this opportunity to thank
you for all the great work on supporting AlphaFold2 in the ChimeraX and
implementing excellent visualisation of the confidence metrics like your
integrated PAE viewer.

As the key community members, I wanted to share an exciting announcement
<https://dpmd.ai/alphafold3>. Today, Google DeepMind announced AlphaFold 3
via a paper <https://www.nature.com/articles/s41586-024-07487-w> in Nature.
AlphaFold 3 is the next generation of AlphaFold, developed by Google
Deepmind and Isomorphic Labs, which can predict the structures of nearly
every biomolecule type — with state-of-the-art accuracy.

We have two main pieces of news to share:

1) Where previously AlphaFold predicted the 3D structures of proteins,
AlphaFold
3 can model other biomolecules, including DNA, RNA, ligands, and ions,
model large, complex structures made of these biomolecules, and predict
biologically meaningful interactions between them. Which we hope will
unlock significant further research directions across the life sciences. If
you would like to read more about the model’s new capabilities please see
the paper <https://www.nature.com/articles/s41586-024-07487-w> in Nature.

2) Alongside this, we are launching AlphaFold Server
<http://alphafoldserver.com>. Powered by AlphaFold 3, the Server is an easy
to use, web-based tool for non-commercial researchers to access AlphaFold
3’s predictions for non-commercial research. AlphaFold Server makes the
majority of AlphaFold 3 capabilities available- with the exception of some
biomolecule capabilities, particularly those relevant to drug discovery.
It will be the most accurate tool for predicting how proteins interact with
the other molecular components of the cell. The server is free of charge
for users, which we hope will enable even more researchers to make use of
structures as they build their understanding of the processes underpinning
the living world.

Please note that the AlphaFold Server also produces JSON files carrying PAE
(they are available as part of zip file for download). However, our new
implementation may not be compatible with ChimeraX visualisation of the PAE
plot. The reason is that PAE plot for AlphaFold2 was based on amino acid
residues, and for AlphaFold3 PAE is based on tokens (one token per standard
amino acid residue or nucleotide, one token per atom of any chemically
modified residue, nucleotide, ligand or ion). I am absolutely happy to
discuss this difference in more detail; we can set up a video chat, if you
are interested.

We are excited to share this news with you, and welcome any feedback you
might have on this announcement or AlphaFold Server more broadly. Please
also feel free to share this with your colleagues and wider network.

All the best,

Oleg


-- 
[image: logo]
Oleg Kovalevskiy
Applied Scientist
okovalevskiy@deepmind.com
If you received this email in error, please do not forward it to anyone
else (it may contain confidential or privileged information), erase all
copies and attachments, and let me know that it has gone to the wrong
person.
}}}
"	task	closed	normal		Structure Prediction		fixed		Scooter Morris				all	ChimeraX
