Predicting Protein-Protein Interactions Using Vectorized Sequence Descriptors and Machine Learning Classifiers
Accurate prediction of protein-protein interactions (PPIs) is fundamental for elucidating cellular mechanisms and accelerating drug discovery. Although experimental techniques provide extensive interaction maps, their high cost and time requirements necessitate robust computational alternatives. In this study, we present an interpretable machine-learning framework that integrates sequence-derived…
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