You can also see highlights of the method and results tomorrow at the Mutational Scanning Symposium! (broadinstitute.swoogo.com/mss-2024/51014…) #VariantEffect24

Very happy to share work led by @SoBuelow on prediction of phase separation propensities of disordered proteins from sequence We combined active learning and coarse-grained simulations to develop a machine learning model for quantitative predictions of IDR phase separation

Exciting news🤩! (code and weights are available also!)

We have trained ESM3 and we're excited to introduce EvolutionaryScale. ESM3 is a generative language model for programming biology. In experiments, we found ESM3 can simulate 500M years of evolution to generate new fluorescent proteins. Read more: evolutionaryscale.ai/blog/esm3-rele…

OPIG DPhil student Gemma Gordon led work to build and analyse "PLAbDab-nano: a database of camelid and shark nanobodies from patents and the literature". Just released on bioRxiv and available as an OPIG webapp: Preprint: biorxiv.org/content/10.110… Webapp: opig.stats.ox.ac.uk/webapps/plabda…

Technical Report of HelixFold3 for Biomolecular Structure Prediction The PaddleHelix research team at Baidu have released their AlphaFold3 replication under an open-source noncommercial license. Performance approaches that of AlphaFold3. abs: arxiv.org/abs/2408.16975 website:

New research led by Lucy Vost has just been released on biorxiv: "Improving Structural Plausibility in 3D Molecule Generation via Property-Conditioned Training with Distorted Molecules" biorxiv.org/content/10.110…

New preprint w @TKSchulze who analysed cellular abundance (VAMP-seq) data for ~32,000 variants of six proteins We find that much of the variation can be explained and predicted by a burial-dependent substitution matrix Lots more goodies in the paper doi.org/10.1101/2024.0…

MARK YOUR CALENDAR: The next Variant Effects Seminar Series is Tuesday, October 1, 9 to 10 am (Pacific). Saori Sakaue Harvard Medical School & @Priyank67495046 UC San Francisco will present. Atlas of Variant Effects Alliance varianteffect.org/seminar-series

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”

The 2024 #NobelPrize laureates in chemistry Demis Hassabis and John Jumper have successfully utilised artificial intelligence to predict the structure of almost all known proteins. In 2020, Hassabis and Jumper presented an AI model called AlphaFold2. With its help, they have

📢Out now! Charlotte M. Deane and colleagues discuss the need for a renewed focus on data and validation for advancing the potential of machine learning in small-molecule drug discovery. Oxford Protein Informatics Group (OPIG) nature.com/articles/s4358… ➡️rdcu.be/dW34O

AF2χ: Predicting protein side-chain rotamer distributions with AlphaFold2