PfamDB

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
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🧬 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!
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🚀 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
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🔍 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...

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Keeping it in the family: using protein family templates to rescue low confidence AlphaFold2 models AbstractMotivation. High confidence structure prediction models have become available for nearly all protein sequences. More than 200 million AlphaFold2 mo

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

Pfam 37.1 release Pfam 37.1 release is now out and accessible through the InterPro website and Pfam ftp.  More frequent Pfam updates Historically, Pfam releases occurred approximately once per year. With the de…

🧬 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.