Author name: Curtis Pokrant

A recent Google DeepMind project paper Scaling deep learning for materials discovery described using GNNs trained on a large and diverse set of first-principles calculations to enable the efficient discovery of inorganic materials and the discovery of 2.2 million new crystal structures, many of which escaped previous human chemical intuition. This represents an order-of-magnitude expansion […]

TLDR: It is pretty cool that you can directly leverage Deepmind’s cutting edge AI powered AlphaFold and AlphaMissense projects to get insight into your own genome! Google DeepMind created AlphaMissense, new AI model that predicts the pathogenic classification of the effects of ‘missense’ mutations. Using this tool they created and released a catalogue of ‘missense’