ProteinBERT: a universal deep-learning model of protein sequence and function

ProteinBERT: a universal deep-learning model of protein sequence and function SUMMARY: Self-supervised deep language modeling has shown unprecedented success across natural language tasks, and has recently been repurposed to biological sequences. However, existing models and pretraining methods are designed and optimized for text analysis. We introduce ProteinBERT, a deep language model specifically designed for proteins. Our pretraining scheme combines language modeling with a novel task of Ge...