Structural bioinformatician working at AlphaFold DB in the PDBe. Enriching protein structure models and implementing new tools.

Joined February 2019
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#AlphaFold DB now has TED integrated! It's 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 AFDB. Huge learning experience, and I’m excited to finally see it live! 🧵(1/6)
3 Mar 2025
🚀#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. ebi.ac.uk/about/news/updates…
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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 👇
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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 @PDBeurope for the hard work that went into this!
7 Oct 2025
We’re renewing our collaboration with @GoogleDeepMind! 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 ebi.ac.uk/about/news/technol… #AlphaFold
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#AlphaFold DB now has TED integrated! It's 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 AFDB. Huge learning experience, and I’m excited to finally see it live! 🧵(1/6)
3 Mar 2025
🚀#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. ebi.ac.uk/about/news/updates…
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And, of course, TED wouldn’t exist without Prof. David Jones (@psipred) & Prof. Christine Orengo’s groups at @ucl, who developed and maintain this incredible resource. Their work made this integration possible! 🏗️ 🧵(5/6)
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It's just the start! I’ll be sharing more on this new feature on AlphaFold DB, cool use-cases, and various other updates. Got an interesting domain example? Find a case where TED annotations shine (or break) in our new feature? Let me know! Follow for more updates! 🔜 🧵(6/6)
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The Encyclopedia of Domains (TED) is out now! This here is some incredible work done to structurally identify domain annotations across all ~214 million #AlphaFold models at AlphaFold DB. This was a collaborative work between @CATH_Gene3D and the Jones group (@psipred) at @ucl.
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Excited to be at #FEBS2024 Congress in Milano! I presented our latest work on integrating #AlphaMissense into #AlphaFold DB. This allows users to interactively explore all missense variants in canonical human proteins. Let's have a chat to learn how it can help you! #FEBS2024
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This is so cool
11 May 2024
Brunlab QR code avec bactéries.
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and we now have another iteration of AlphaFold! @GoogleDeepMind has finally released its latest AI model to predict the structure of proteins with their cognate ligands. Check out their webserver golgi.sandbox.google.com/abo… and make sure to read their paper nature.com/articles/s41586-0…

Announcing AlphaFold 3: our state-of-the-art AI model for predicting the structure and interactions of all life’s molecules. 🧬 Here’s how we built it with @IsomorphicLabs and what it means for biology. 🧵 dpmd.ai/3URDiNo
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Wow, these are incredible…
It's #PortfolioDay ! I'm Michael, currently a PhD student in the biological sciences and budding scientific animator and designer. Interested in the complexity of life at microscopic scales. Here's a few things I've made and my portfolio website is linked in the replies!
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Spent a whole day learning #blender, and now I can make some pointlessly epic shots of proteins! Massive kudos to the amazing YouTube tutorials by @bradyajohnston! Thanks so much for upgrading my #protein visualisation skills! #b3d #sciart #sciviz #PDB
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Maxim Tsenkov retweeted
Improving small molecule findability -- covalently linked components (CLCs) -- being presented (amongst other things) by our team member Preeti Choudhary (@preeti_cy). Read more here: ebi.ac.uk/pdbe/news/introduc…

Preeti Choudhary (@preeti_cy) from @PDBeurope talks about finding enriched data for drugs, #antibiotics, and other small #molecules in #PDBe. Watch what she has to say about it in this #ABLS24 poster video 🎥
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Come join us! Our fantastic team is incredibly supportive; we thrive on collaboration and innovation. If you’re a front-end developer passionate about, or want to learn, biological data, check out our open position.
Are you a front-end developer interested in biological data? We have a post available for development of user-facing web pages for displaying molecular structures & annotations. 📅Deadline: 19 March 2024. For more information and to apply: 🔗embl.org/jobs/position/EBI02…
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Maxim Tsenkov retweeted
7 Mar 2024
Do you have a question about @InterProDB, InterProScan or @PfamDB, but can't find the answer in the documentation (ebi.ac.uk/interpro/help/docu…)? You can contact us by clicking on the 'Contact us' tab we've recently added to the website menu (ebi.ac.uk/interpro/contact/)
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Maxim Tsenkov retweeted
5 Mar 2024
Is UniProt valuable to your research work? Please complete our survey, measuring the value and impacts of open science to the research community. ec.europa.eu/eusurvey/runner… #OpenData #OpenScience
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