Essential and virulence-related protein interactions of pathogens revealed through deep learning
Ian R. Humphreys,
Jing Zhang,
Minkyung Baek
et al.
Abstract:Identification of bacterial protein protein interactions and predicting the structures of the complexes could aid in the understanding of pathogenicity mechanisms and developing treatments for infectious diseases. Here, we developed a deep learning based pipeline that leverages residue-residue coevolution and protein structure prediction to systematically identify and structurally characterize protein protein interactions at the proteome wide scale. Using this pipeline, we searched through 78 million pairs of … Show more
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