Open licenses power discovery! Melissa Harrison shares a @pfamdb.bsky.social use case: Pfam uses AI to extract information about known protein domains This helps predict protein function & identify potential drug targets! 💊 #ChooseOpenWebinar for live updates 💡 #MedLib #PhDsky #OpenAccess

🧬 The InterPro/Pfam team will be presenting at #ISMB2025 next week in Liverpool! 🎤 Multiple talks & 📊 posters on protein analysis & classification 💻🧪

🧬 The InterPro/Pfam team will be presenting at #ISMB2025 next week in Liverpool! Join us July 20-24 at the world's largest #bioinformatics conference! #ISMBECCB2025 #ProteinAnalysis #ComputationalBiology 💻🧪

Come chat to us at @jobim2025.bsky.social!

Can AI train on my openly licensed research? Do I retain copyright if I choose a CC BY license? Why can’t I reuse a figure from my own paper? Get the answers in a webinar with Creative Commons, #EuropePMC & EMBL 🗓️ 9 Jul ⏰ 15:00 UTC 🔗 embl-org.zoom.us/webinar/regi... #OpenScience #AcademicSky 🧪

🚀 HUGE NEWS: Pfam 37.4 is LIVE! 318 brand-new protein families + 4 new clans! 🧬 Total collection now: 24,736 entries! 📈 Get exploring via InterPro website, API & Pfam FTP! 💻🧪

🚀 InterPro 106.0 is now live! ✨ Updated to Pfam 37.4 ✨ 683 new entries added ✨ Enhanced protein classification coverage Explore the latest annotations and discover new protein insights. Explore it now: interpro.ebi.ac.uk 💻🧪🧬 #Bioinformatics #ProteinScience #Pfam #EMBLEBI

What’s new in the redesigned PDBe entry pages? 🧪 Cleaner layout 🧪 Interactive 3D viewers 🧪 Contextual annotations 🧪 Easier navigation See for yourself: wwwdev.ebi.ac.uk/pdbe/entry/p... #PDBeBeta #Bioinformatics #Biochemistry #Science

🧬 MAJOR UPDATE: InterPro-N matches now available in InterPro! 1.8 billion AI-driven protein annotations developed with Google DeepMind are now live. ✨ Look for the sparkles icon to identify them 📊 Options menu lets you view: InterPro only | InterPro-N-only | Stacked 💻🧪

🔍 NEW: TED domains in InterPro 105.0! For the first time, see AlphaFold-derived structural domains directly alongside InterPro annotations in one powerful visualisation. Bridging the sequence-structure divide in protein analysis. 💻🧪 Explore now: www.ebi.ac.uk/interpro/pro...

📝 Check out our new blog post highlighting the groundbreaking features in InterPro 105.0! Learn how InterPro-N, TED domains and viral protein structures are transforming protein classification: ebi.ac.uk/about/news/u...

🔥 Pfam 37.3 just dropped! 🚀 353 incredible new protein families + 7 new clans! 🧬✨ Revolutionise your research NOW via @interprodb.bsky.social website, API & Pfam FTP!

📢InterPro release 105.0 is live! ✨Update to Pfam 37.3, PROSITE patterns 2025_01 PROSITE profiles 2025_01 and HAMAP 2025_01 ✨342 new entries ✨Addition of InterPro-N annotations ✨Addition of BFVD structure predictions from @martinsteinegger.bsky.social's lab Have a look: ebi.ac.uk/interpro/htt... 💻🧪🆕

Want to use the InterPro API but not sure how to start? Join this upcoming workshop, where @typhainepl.bsky.social will guide you through the fundamentals and practical applications. Discover how to integrate this powerful tool into your workflow! Register now to secure your spot. 💻🧪

🔈InterPro release 104.0 is live! ✨Update to Pfam 37.2, NCBIfam 17.0, CDD 3.21. ✨661 new entries, including 682 signatures from the Pfam (663), NCBIfam (5), PANTHER (5), CDD (9) databases. Have a look: ebi.ac.uk/interpro/ 💻🧪

Pfam 37.2 is out 🎉It contains 302 new families and 18 new clans You can have a look at them in InterPro: ebi.ac.uk/interpro/ent... or download the release from the Pfam ftp: ftp.ebi.ac.uk/pub/database...

🔍 Lost in Pfam data? Our redesigned Help page has you covered! From quick answers to deep dives into protein families, find exactly what you need at www.ebi.ac.uk/interpro/help/ 💻🧪

Prediction confidence scores help #AlphaFold users gauge the reliability of protein structure predictions. 🖥️🧬 But things get more challenging for protein families. A new method helps improve low confidence predictions within protein families. academic.oup.com/bioinformati...

🆕The member database signature pages have undergone a thoughtful reorganisation to improve information accessibility. 1) Curation data are now in Overview 2) HMM information and logo are now in Profile HMM Have a look: www.ebi.ac.uk/interpro/ent...

Welcome to 2025 🎉 We are running a number of exciting courses this year, so join us to boost your #bioinformatics, #datascience and #omics skills! These courses are currently open for applications - find out more: www.ebi.ac.uk/training/liv... 💻🧬💻🧪

Excited to announce our latest publication: “Keeping it in the family: Using protein family templates to rescue low confidence AlphaFold2 models” where we explore plDDT variability in #AF2 models of @pfamdb.bsky.social domains. doi.org/10.1093/bioa... 1/7

🧬 What's new in Pfam? Beta propellers uncovered through smart deduplication, fresh perspectives on haloarchaeal proteins, and more! Dive into our latest blog: xfam.wordpress.com/2024/12/09/p...

For the latest Pfam updates, have a look at our recently published paper: The Pfam protein families database: embracing AI/ML t.co/8auCxw3mdj

InterPro release 103.0 is live! 💻🧪 ✨Update to Pfam 37.1 ✨1029 new entries, including 1019 signatures from the Pfam (1008), NCBIfam (2), PIRSF (1), PANTHER (1), CDD (7) databases. Have a look: ebi.ac.uk/interpro/

We’re delighted to have joined BlueSky to engage with the scientific community about protein families, protein domains and related data. The Pfam database is a large collection of protein families, domains and repeats.