AlphaFold read proteins.
AlphaGenome is trying to read the genome.
Google DeepMind just published a model that takes one million base pairs of DNA as input and predicts thousands of functional outputs at single base-pair resolution.
Gene expression. Splicing. Chromatin accessibility. Transcription factor binding. All from sequence alone.
It matched or outperformed every existing model on 25 out of 26 benchmark tasks.
It can simulate known mutations responsible for leukaemia and predict what goes wrong at the regulatory level.
98% of genetic variants that affect disease risk sit in non-coding DNA, the parts of the genome that don't make proteins but control how genes are switched on and off.
AlphaGenome was built specifically to read that part.
This is what we are breaking down tomorrow in Journal Club.
Not just what AlphaGenome can do, but what it still cannot do, and what that tells us about how much of the regulatory genome we actually understand.
Tomorrow. Saturday. 7pm Sydney, 2:30pm IST.
Biology Unlocked Journal Club. Free to join.
Link in the first comment.
#molecularbiology #genomics #bioinformatics #AlphaGenome