A sequence -based stacked set model for multiclase protein toxins classification

Understanding the structural and functional diversity of toxin proteins is critical to elucidate macromolecular behavior, mechanistic variability and structure bioactivity. Traditional approaches have mainly focused on binary toxicity prediction, offering a limited resolution to different modes of action of toxins. Here we present MultipleA set of stacking for the classification of toxin proteins based on…

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