ΑΙhub.org
 

DeepMind and EMBL release database of predicted protein structures


by
23 July 2021



share this:

AF-Q8I3H7-F1
T-cell immunomodulatory protein homolog, from the AlphaFold Protein Structure Database, reproduced under a CC-BY-4.0 license.

DeepMind and the European Molecular Biology Laboratory (EMBL) have partnered to produce a database of predicted protein structure models.

The first release covers all ~20,000 proteins expressed in the human proteome, and the proteomes of 20 other biologically significant organisms, totalling over 350k structures. In the coming months they plan to expand the database to cover a large proportion of all catalogued proteins (the over 100 million in UniRef90).

The data is freely and openly available to the scientific community. You can access the AlphaFold Protein Structure Database here.

Back in November, DeepMind reported on their AlphaFold system that was able to predict, with high accuracy, a protein’s 3D structure from its amino acid sequence. We wrote about it here. This database is the next step in the journey, and the collaborators hope that this will be a useful tool for researchers and open up new avenues for scientific discovery.


Another example protein structure from the AlphaFold Protein Structure Database, reproduced under a CC-BY-4.0 license. This is Striatin-interacting protein 1. It plays a role in the regulation of cell morphology and cytoskeletal organization, required in the cortical actin filament dynamics and cell shape. AlphaFold produces a per-residue confidence score (pLDDT) between 0 and 100. The parts of the protein with a pLDDT score of above 90 are shown in dark blue, between 70 and 90 in light blue, between 50 and 70 in yellow, and below 50 in red.

In a recently published Nature article, Highly accurate protein structure prediction with AlphaFold, you can find out more about the neural network-based model and methodology that the AlphaFold team used. In this second Nature article, Highly accurate protein structure prediction for the human proteome, published yesterday, you can read more about the application of AlphaFold to the human proteome.

Find out more

AlphaFold Protein Structure Database
DeepMind blog post
EMBL-EBI news article
Highly accurate protein structure prediction with AlphaFold, Nature article.
Highly accurate protein structure prediction for the human proteome, Nature article.
DeepMind open source code
AlphaFold Colab



tags:


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



Livestream of RoboCup2025

  18 Jul 2025
Watch the competition live from Salvador!

A behaviour monitoring dataset of wild mammals in the Swiss Alps

  17 Jul 2025
Scientists at EPFL have created MammAlps, a multi-view, multi-modal video dataset that captures how wild mammals behave in the Swiss Alps.

#ICML2025 social media round-up 1

  16 Jul 2025
Find out what participants have been getting up to during the first couple of days of the conference.

Congratulations to the #ICML2025 award winners!

  16 Jul 2025
Find out which articles have won the outstanding paper, outstanding position paper, and the test-of-time awards.

Tackling the 3D Simulation League: an interview with Klaus Dorer and Stefan Glaser

  15 Jul 2025
With RoboCup2025 starting today, we found out more about the 3D simulation league, and the new simulator they have in the works.

What’s coming up at #RoboCup2025?

  10 Jul 2025
Find out when the different leagues competitions and the symposium are taking place.

Wildlife researchers train AI to better identify animal species in trail camera photos

  09 Jul 2025
Scientists are working on improving AI performance in wildlife monitoring through species and environment-specific training.

What’s on the programme at #ICML2025?

  07 Jul 2025
Find out what the International Conference on Machine Learning has in store.



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence