AlphaFold Protein Structure Database 2025: a redesigned interface and updated structural coverage

database[Title] 2025-11-22

Summary:

The AlphaFold Protein Structure Database (AFDB; https://alphafold.ebi.ac.uk), developed by EMBL-EBI and Google DeepMind, provides open access to hundreds of millions of high-accuracy protein structure predictions, transforming research in structural biology and the wider life sciences. Since its launch, AFDB has become a widely used bioinformatics resource, integrated into major databases, visualization platforms, and analysis pipelines. Here, we report the update of the database to align with...

Link:

https://pubmed.ncbi.nlm.nih.gov/41273079/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20251122140515&v=2.18.0.post22+67771e2

From feeds:

📚BioDBS Bibliography » database[Title]

Tags:

Authors:

Damian Bertoni, Maxim Tsenkov, Paulyna Magana, Sreenath Nair, Ivanna Pidruchna, Marcelo Querino Lima Afonso, Adam Midlik, Urmila Paramval, Dare Lawal, Ahsan Tanweer, Meera Last, Risha Patel, Agata Laydon, Dariusz Lasecki, Nick Dietrich, Hamish Tomlinson, Augustin Žídek, Tim Green, Oleg Kovalevskiy, Andy Lau, Shaun Kandathil, Nicola Bordin, Ian Sillitoe, Milot Mirdita, David Jones, Christine Orengo, Martin Steinegger, Jennifer R Fleming, Sameer Velankar

Date tagged:

11/22/2025, 14:05

Date published:

11/22/2025, 06:00