Not an ML expert, but want to understand AlphaFold3 (AF3)?

I wrote a simple-to-understand AF3 field guide and sprinkled my opinions in along the way.

The full essay is linked at the END of the thread.

Here's a TL;DR 🧵

Epigenetic clocks are advancing thanks to a vibrant research community. Which clock is best? Benchmarking tests will be essential. A preprint by Kriukov and Efimov suggests that GrimAge version 2 is currently the best predictor of human mortality risk. ComputAgeBench: Epigenetic

Congratulations to the winner of the🏆IJCAI-24 Award for Research Excellence, Prof. Thomas Dietterich Thomas G. Dietterich. Recognized for pioneering work in machine learning, sequential decision-making, and impactful real-world applications.

➡️ ijcai.org/awards

#IJCAI2024

📢This Thursday, Prof. Joachim Buhmann gives his #farewell lecture, as he retires after 21 years. In an interview with D-INFK, he reflects on his career from theoretical #biophysics to pioneering #machinelearning at ETH Zurich. bit.ly/4dY92I4
ETH Zurich ETH AI Center

Highly recommended opportunity in the world-leading OATML_Oxford lab!

Very excited to see AlphaMissense scores integrated
Ensembl, UniProt & the AlphaFold database. Great work by EMBL-EBI on the interactive visualisations - love the interactive heatmap in AFDB.

Are you planning to attend #ICML2024 in Vienna? Why not come two days earlier and attend the Symposium 'The Future of Machine Learning' at ISTAustria on July 19th? We'll have great speakers, free coffee, and enough space to meet and chat. Join now at fml2024.ista.ac.at

Excited about publishing my PhD research in Nature Chemistry - using convolutional neural networks to optimise potency of candidate GLP-1/Glucagon receptor dual agonists to study #MachineLearning systems in #DrugDiscovery .

Paper: nature.com/articles/s4155…