mcagiada.bsky.social
🇮🇹, Computational biophysicist, NNF Postdoc in #OPIG at University of Oxford | previously PhD and PostDoc at University of Copenhagen (KLL group)
👤 Joined on 22 October 2023
Followers
Following
Total Posts
@mcagiada.bsky.socialWhen we describe conformational properties of intrinsically disordered proteins we often talk about residual structure, but residual relative to what? There are several approaches to quantify this in conformational ensembles, with one simple being to compare to a reference excluded volume ensemble
Show PostProud and honoured to receive the Novo Nordisk Foundation’s Prize for Natural Science Teachers together with Birthe Kragelund and Karen Skriver Teaching takes a village, and I owe many many thanks to amazing colleagues, students, and collaborators over the years science.ku.dk/english/pres...
Show PostAlphaFold database has entered the era of complexes. Together with NVIDIA, DeepMind and EBI, we use ColabFold, OpenFold and MMseqs2-GPU to predict ~31 million complexes (homo & hetro-dimers) resulting in 1.8 million high-quality predictions 📄 research.nvidia.com/labs/dbr/ass... 🌐 alphafold.ebi.ac.uk
Show PostNew OpenFold3 preview out! (OF3p2) It closes the gap to AlphaFold3 for most modalities. Most critically, we're releasing everything, including training sets & configs, making OF3p2 the only current AF3-based model that is functionally trainable & reproducible from scratch🧵1/9
Show PostNew paper from former PhD student @tkschulze.bsky.social on supervised learning of protein variant effects across large-scale mutagenesis datasets MAVE/DMS experiments provide large amounts of data for benchmarking variant effect predictors, but may be difficult to use in supervised learning. 1/5
Show Post