• DOI:10.1038/s41592-019-0598-1
Corpus ID: 203648874

Unified rational protein engineering with sequence-based deep representation learning

@article{Alley2019UnifiedRP,
  title={Unified rational protein engineering with sequence-based deep representation learning},
  author={E. C. Alley and Grigory Khimulya and Surojit Biswas and Mohammed AlQuraishi and G. Church},
  journal={Nature Methods},
  year={2019},
  pages={1-8}
}

• E. C. Alley, Grigory Khimulya, +2 authors G. Church
• Published 2019
• Computer Science, Medicine
• Nature Methods

Rational protein engineering requires a holistic understanding of protein function. Here, we apply deep learning to unlabeled amino-acid sequences to distill the fundamental features of a protein into a statistical representation that is semantically rich and structurally, evolutionarily and biophysically grounded. We show that the simplest models built on top of this unified representation (UniRep) are broadly applicable and generalize to unseen regions of sequence space. Our data-driven… Expand

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