ISSN 1662-4009 (online)

ey0021.15-12 | Artificial Intelligence | ESPEYB21

15.12. Accurate proteome-wide missense variant effect prediction with AlphaMissense

J Cheng , G Novati , J Pan , C Bycroft , A Zemgulyte , T Applebaum , A Pritzel , LH Wong , M Zielinski , T Sargeant , RG Schneider , AW Senior , J Jumper , D Hassabis , P Kohli , Z. Avsec

In Brief: The authors describe AlphaMissense, a machine-learning tool that predicts the pathogenicity of 71 million human coding variants. 22.8 million variants (32%) are classified as likely pathogenic and 40.9 million (57%) as likely benign. They provide these databases freely as resources to the international research community.These authors from Google DeepMind previously developed and released AlphaFold, a revolutionary machine-learning approach to ...