Google DeepMind Publishes AI-Powered Predictions for the Effect of All 9 Billion Possible Single-Point Mutations to Human DNA
Google DeepMind said Tuesday that it has used artificial intelligence to predict the biological consequences of all 9 billion possible single-letter changes to human DNA, and is making the resulting database available free to academic researchers worldwide.
TL;DR
- Google DeepMind's AlphaGenome Atlas predicts the biological consequences of all 9 billion possible single-point mutations in human DNA.
- The database is freely available to academic researchers worldwide, accelerating genetic disease research and drug discovery.
- It includes predictions on gene expression, DNA transcription, and a new AlphaGenome Variant Impact (AVI) score.
- The tool aids in interpreting non-coding DNA mutations, which have been historically difficult to analyze.
- Beta testers have already used the Atlas to re-examine unsolved rare genetic disorder cases and identify potential causal variants.