DeepMind’s new AlphaGenome AI tackles the ‘dark matter’ in our DNA
- DeepMind introduced AlphaGenome, an AI model described in a June 25 preprint that predicts how DNA mutations affect function across large sequences.
- Researchers have long struggled to interpret the genome's 'dark matter,' the 98 percent of non-coding DNA crucial for gene regulation and linked to disease.
- AlphaGenome analyzes DNA sequences up to one million letters, integrating multiple capabilities to predict biological properties sensitive to single-letter mutations.
- Pushmeet Kohli called this approach “one of the most fundamental problems in all of science,” noting AlphaGenome's milestone status in genome research.
- The model currently aids research on disease-causing mutations but is not validated for clinical use, with future versions expected to include more species and cell types.
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AlphaGenome designed to decipher non-coding sequences (ANSA)
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