Top Tweets for #alphafoldDB
How do pLDDT, ipTM, ipSAE, pDockQ2 and LIS fit together?
See how these metrics work together to assess confidence in an AlphaFold DB complex interface.
🎬 Watch the full tutorial: https://t.co/fWp6U20WVM
#AlphaFold #AlphaFoldDB
A predicted interaction may involve only a small region of a protein complex.
How can we identify confidence in that local interface when surrounding regions have high PAE?
Our tutorial uses PAE matrix to explain how LIS can help 👇
https://t.co/fWp6U20WVM
#AlphaFold #AlphaFoldDB
🎉 Thrilled to see the latest version of #RepeatsDB, which now incorporates predictions on #AlphaFoldDB models, published in @NAR_Open. This comes as a result of the efforts from @BioComputingUP, the #TRP community, @refract_rise and @ml4ngp.
🔗📑 https://t.co/eCYtaEuFRc
🚀 Researchers introduce #DPCstruct, an unsupervised #clustering algorithm that enhances #AlphaFold #database by providing domain-level classification of #protein structures, making #AlphaFoldDB more accessible and usable.
Quick Read: https://t.co/FUFojVtg4N
#Bioinformatics #AI
1/9
Happy Friday everyone 😊 Did you read @emblebi’s latest blog post? AlphaMissense scores are now available via #Ensembl, @UniProt and #AlphaFoldDB! In this thread, we are going to show you how to retrieve these via Ensembl ⬇️
#genomics #bioinf #EnsemblTraining
Další možností je využití #AlphaFoldDB na @PDBeurope - https://t.co/SUjHAU7qkt, kde se postupně doplňovaly struktury známých proteinů nejprve modelových organismů a posléze ověřených proteinů, pro které máme sekvence v databázi @uniprot - těch už je dnes přes milion.
“Recognized by nearly 50 citations since its publication, this work has significantly contributed to the field of life science (…).”
🥁 That’s what the committee said about this work, one of the #SIBRemarkableOutputs 2023 👏
👉 https://t.co/COQbZ1KKq7
#Foldseek #AlphaFoldDB
Are you doing lab experiments👨🔬👩🔬investigating or discovering gene variants?
Have you incorporated EBI-EMBL tools into your research?
Here is an opportunity to learn how bioinformatic tools & databases work togther to give insight -- inc. #PDBe & #AlphaFoldDB.
Register now!
Join our one-day virtual workshop on interpreting the effects of #genetic variants on #proteinstructure and #proteinfunction.
We'll cover the @ensembl Variant Effect Predictor, @uniprot, @PDBeurope-KB, and #AlphaFold-DB.
Register now: https://t.co/UjVRvmi8Os
+1
Our collaboration of @fchupol with @CEITEC_Brno and @LoschmidtL brought together channel analysis on available protein structures leveraging both MOLE and Caver tools on top of @PDBeurope and #alphafolddb structures.
Enjoy!
📗 #PublicationsOfTheWeek: "ChannelsDB 2.0: a comprehensive database of protein tunnels and pores in AlphaFold era" in @NAR_Open
See more 👉 https://t.co/BGVSxqEZ66
#CEITECScience
There’s still time to join tomorrow’s #webinar to learn about accessing and evaluating predicted #protein structures with the #AlphaFoldDB. Registration is free but essential https://t.co/zZd2H2uRsM #structuralbiology #bioinformatics #openaccess #structureprediction
Interested in accessing and evaluating predicted #protein structures?
Join the next webinar to learn how you can do so with the #AlphaFoldDB.
Registration is free but essential: https://t.co/zZd2H2uRsM
#structuralbiology #Bioinformatics #OpenAccess #structureprediction
Fantastic to see @embl recognised for developing AI tools in life sciences, including #AlphaFoldDB - @PDBeurope & @GoogleDeepMind working together to provide > 200 million AI protein structure predictions to the scientific community for free!
🔗https://t.co/zHODKFErWr
We’re honoured to receive the German AI Prize 2023!
From #AlphaFold to #Imaging, have a look at some of the ways in which we use and develop AI tools in the life sciences:
https://t.co/HmU0kB3HTv
#ArtificialIntelligence #KIPreis2023
The structural clusters are the result of a collaboration between @thesteinegger and @pedrobeltrao labs. Using #Foldseek, they clustered the entire #AlphaFoldDB! In the paper (https://t.co/SUCvnfuZg8), they discuss how they discovered many 'dark clusters' with unknown function 🔍
Researchers reveal that human immunity proteins share structural similarities with bacterial proteins, hinting at ancient evolutionary origins.
This work was possible using Foldseek Cluster to unlock insights from #AlphaFoldDB.
https://t.co/ug4D38X88R
AlphaFold has given us millions of protein structure predictions, but analysing these can be tricky due to computational limitations.
Foldseek Cluster is a new algorithm that can perform structural comparisons of every #AlphaFoldDB protein prediction.
https://t.co/jdJmLfCCSA
Looking to find structures for your protein? We have created a tutorial video to show how you can use #3DBeacons pages and sequence search to easily find structures from #PDBeKB, #AlphaFoldDB, #ModelArchive and many more…
⬇️ Watch the video ⬇️
https://t.co/iLlWHJSr1y
Looking for structures for your protein of interest? The latest #3DBeacons release includes API updates and a new sequence search, so it’s even easier to find structures from #PDBeKB, #AlphaFoldDB, #ModelArchive and many more…
🔗https://t.co/lKBZVQWRrH
Wrapping up #ISMBECCB2023 on a high note! Joyful reunions with friends and colleagues, making amazing new connections, and my mind’s buzzing with scientific insights! 🤩💬 Not to mention, gaining valuable insights into user needs for #AlphafoldDB. Grateful for this experience!
Just attended an insightful talk by @nicolabordin on their latest developments! Impressed by Chainsaw, their new domains boundaries predictor, and CATH-AlphaFlow for #AlphaFoldDB models. PS - his intro slide with deformed proteins and fingers never fails to amuse! #ISMBECCB2023
We’re celebrating the 2nd anniversary of #AlphaFoldDB! 🎉🎂 That’s 2 years of hard work from our @PDBeurope team, alongside @GoogleDeepMind, to bring over 200 million protein structure predictions from AlphaFold to the scientific community for free!
🔗https://t.co/v7tMhC8RpY
AlphaFold DB launched 2 years ago 🎂
But did you know this incredible resource wouldn’t exist without your data?
Learn about the journey your data takes from submission, training the @GoogleDeepMind #AlphaFold algorithm, to integrating AlphaFold predictions across our databases
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