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PanbiNet is a deep learning-based framework designed for predicting protein-protein interactions (PPIs) across different species. It integrates various biological data types, such as protein sequences and functional annotations, to enhance the accuracy of PPI predictions. By utilizing a pan-genomic approach, PanbiNet aims to improve our understanding of protein interactions in a broader biological context, facilitating research in fields like genomics and drug discovery.
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