This just turned up on hacker news: https://www.biorxiv.org/content/10.1101/622803v1
[...] To this end we use unsupervised learning to train a deep contextual > language model on 86 billion amino acids across 250 million sequences > spanning evolutionary diversity. The resulting model maps raw sequences to > representations of biological properties without labels or prior domain > knowledge. The learned representation space organizes sequences at multiple > levels of biological granularity from the biochemical to proteomic levels. > [...] Don't know if I have the energy to plow through the text. -- rec --
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