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Machine-learning algorithm uses structure pre

DeepMind is releasing AlphaMissense, a tool researchers can use to learn more about the effects that missense mutations – which make up the majority of “variants of uncertain significance” – have on disease. AlphaMissense could help identify pathogenic missense mutations and previously unknown disease-causing genes. Uncovering the root causes of disease is one of the greatest challenges in human genetics. Many of the genetic mutations that cause disease in humans occur in protein-coding regions. Although the capacity to sequence DNA and identify disease-causing variants has substantially increased, the ability to interpret their effects remains limited. This problem is particularly acute for missense variants, genetic mutations that alter the amino acid sequence of proteins. The average person carries thousands of missense variants, most of which are benign, but others of which are pathogenic. Very few missense variants have been confirmed by experts, so their pathogenic versus ....

Jun Cheng , Deepmind Alphafold , Saraha Teichmann ,

AI's multi-view wave is coming, and it will be powerful

The rise of multiple modalities of data will be united in a multi-sided view of the world, which could be an important step toward programs that perform "reasoning" and "planning". ....

Tiernan Ray , Deepmind Alphafold , Yann Lecun , Ravid Shwartz Ziv , York University , Meta Properties , Information Fusion , New York University , Stable Diffusion ,