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      "statement": "# AlphaMissense: predicting the effects of protein-changing variants\n\nPredicted pathogenicity-related effects of missense variants and published a large set of predictions for human amino-acid substitutions.\n\n## Scientific scope\n\nModel classifications are predictions, not diagnoses or experimental validation of every variant. Clinical use requires additional evidence.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nJun Cheng; Guido Novati; Joshua Pan; Clare Bycroft; Akvilė Žemgulytė; Taylor Applebaum; Alexander Pritzel; Lai Hong Wong; Michal Zielinski; Tobias Sargeant; Rosalia G. Schneider; Andrew W. Senior; John Jumper; Demis Hassabis; Pushmeet Kohli; Žiga Avsec\n\nFull deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.\n\nAlphaMissense / Google DeepMind / AlphaMissense: Variant-effect prediction; human-led model development and evaluation (source reported).\n\n## Original sources\n\n- [Accurate proteome-wide missense variant effect prediction with AlphaMissense](https://www.science.org/doi/10.1126/science.adg7492)\n- [Accurate proteome-wide missense variant effect prediction with AlphaMissense — deposited bibliography](https://api.crossref.org/works/10.1126%2Fscience.adg7492)\n",
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