Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method

The identification of human-virus protein-protein interactions (PPIs) is an essential and challenging research topic, potentially providing a mechanistic understanding of viral infection.Given that the experimental determination of human-virus PPIs is time-consuming and labor-intensive, computational methods are playing an important role in providi

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