ey0021.15-12 | Artificial Intelligence | ESPEYB21
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 ...