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Deep learning gets the glory, deep fact checking gets ignored

an AI researcher going back to school for immunology

This pair of papers on enzyme function prediction make for a fascinating case study on the limits of AI in biology and the harms of current publishing incentives. They looked at regions with high attention to confirm that these were biologically significant, which suggests that the model had learned underlying meaning and provided interpretability. When Dr. de Crécy-Lagard read that deep learning had predicted that yciO had the same function of another gene, TsaC, she knew from her long years in the lab that this was incorrect.

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