Maxim Tsenkov
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mitsenkov.bsky.social
Maxim Tsenkov
@mitsenkov.bsky.social
Bioinformagician at AlphaFold DB 🧙🏼‍♂️| PDBe team at EMBL-EBI | Helping you unlock the magic of AlphaFold DB with new features and tools 🔬✨ | Proud LEGO enthusiast 🧱 | Turning data into discoveries!
You probably heard about the last major release at #AlphaFold Database two weeks ago. We hope this new post will cover any further questions about the details of the release. If you have any other questions, please do reply here or email us your queries – afdbhelp@ebi.ac.uk
AlphaFold DB v6 (synced with UniProt 2025_03) is live! Here are the details:
Totals v4 → v6: 241,070,489 entries.
Since v4: +65,711,653 added, 39,324,993 removed, 276,539 changed (in sequence), 175,082,297 unchanged (metadata refresh, relabelled v6). Details 👇
October 21, 2025 at 1:24 PM
The latest #AlphaFold DB update is out!

We synchronised with UniProt release 2025_03, predicted protein isoforms across all species, and provide MSAs used to generate each prediction.

Proud of the team at the PDBe for the hard work that went into this. Grateful to play my part in it!
We’re renewing our collaboration with Google DeepMind!

We'll keep developing the AlphaFold Database to support protein science worldwide 🎉

To mark the moment we’ve synchronised the database with UniProtKB release 2025_03.

www.ebi.ac.uk/about/news/t...

🖥️🧬 #AlphaFold
@pdbeurope.bsky.social
October 7, 2025 at 2:40 PM
AlphaFold DB now has TED integrated! This is a special one for me — my first project where I took ownership from start to finish, bringing together different teams to integrate domain annotations into #AlphaFold DB. A huge learning experience, and I’m excited to finally see it live!

🧵(1/6)
🚀 #AlphaFold Database update

AlphaFold DB now integrates The Encyclopedia of Domains (TED) – a resource designed to systematically identify & classify structural domains within AlphaFold-predicted protein structures.

www.ebi.ac.uk/about/news/u...

@pdbeurope.bsky.social
March 4, 2025 at 11:46 AM