RITA: a Study on Scaling Up Generative Protein Sequence Models. (arXiv:2205.05789v1 [q-bio.QM])

In this work we introduce RITA: a suite of autoregressive generative models
for protein sequences, with up to 1.2 billion parameters, trained on over 280
million protein sequences belonging to the UniRef-100 database. Such generative
models hold the promise of greatly accelerating protein design. We conduct the
first systematic study of how capabilities evolve with model size for
autoregressive transformers in the protein domain: we evaluate RITA models in
next amino acid prediction, zero-shot fitness, and enzyme function prediction,
showing …

arxiv bio protein scaling scaling up study