Autor/es reacciones

Robert Goldstone

Head of Genomics at the Francis Crick Institute (UK)

DeepMind’s AlphaGenome represents a major milestone in the field of genomic AI. This level of resolution, particularly for non-coding DNA, is a breakthrough that moves the technology from theoretical interest to practical utility, allowing scientists to programmatically study and simulate the genetic roots of complex disease.

The model performs exceptionally well on tasks that might be expected to be governed by rigid ‘grammatical’ rules written in the DNA, such as splice site prediction. In these areas, it is poised to immediately replace older standard tools. And one of the most remarkable demonstrations is its ability to predict gene expression from DNA sequence alone. Whilst not perfect, given that gene expression is influenced by complex environmental factors that the model cannot see, achieving the level of accuracy demonstrated, based solely on ‘local' DNA rules, is an incredible technical feat.

AlphaGenome is not a magic bullet for all biological questions, but it is a foundational, high-quality tool that turns the static code of the genome into a decipherable language for discovery.

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