theoretical physical chemist, molecular modeller and chem- and bioinformatician - #AlphaFoldology enthusiast
Palacky University Olomouc, ORCID:0000-0001-9472-2589 #boardgamegeek (tweets my own) #ELIXIRCZ
Karel "CaCO3" Berka
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🧬 Claude isn't the only AI that can query PDBe.
PDBe MCP Servers work with other AI clients too, such as Google Antigravity.
You only need one protocol for any MCP-compatible AI.
🎥 Watch the install walkthrough 👇
📦 github.com/PDBeurope/PDBe-MCP-Servers
#PDBe #MCP #GoogleAntigravity #AI
Did you ever see the "Not The Nine O'Clock News" sketch?
m.youtube.com/watch?v=asUy...
another #alphafoldology tool - DeltaDiff - for prediction of mutant protein structures.
pipeline for #alphafoldology pipeline for identification of PPIs
Power of Boron lecture by Michael Londesborough from IIC AV CR at @fchupol.bsky.social
www.youtube.com/live/j3PvXHe...
#chemsky
Sebastian Hiller on integrative NMR #pps2026
Andrea Soranno on IDP biophysics #ppps2026
Ahrum Son on protein structural changes in alzheimer’s disease #pps2026
And great opening of Prague Protein Spring by David Baker @nd-bakerlab.bsky.social #pps2026
Next speaker is Michele Vendruscolo on dugging undruggable #pps2026
Yajie Cai, Yanbin Wang, Ming Chen: DeltaDiff: Training-Free, Physics-Guided Machine Learning for Predicting Mutant Protein Structures https://arxiv.org/abs/2606.04452 https://arxiv.org/pdf/2606.04452 https://arxiv.org/html/2606.04452
Sarah Narrowe, Arne Elofsson Claudio Mirabello: AF_Cache: Efficient Pipeline for Running AlphaFold for High-Throughput Protein-Protein Interaction Prediction https://arxiv.org/abs/2606.04566 https://arxiv.org/pdf/2606.04566 https://arxiv.org/html/2606.04566
