Deep learning architectures tailored to protein hierarchy combined with sequence-space search algorithms are used to improve prediction of protein complex structures and to design new interacting sequences.
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Deep Learning for Protein Complex Prediction and Design
Deep learning architectures tailored to protein hierarchy combined with sequence-space search algorithms are used to improve prediction of protein complex structures and to design new interacting sequences.