Capsule Networks Push Antimicrobial Peptide Prediction Past 97 Percent Accuracy
A capsule neural network model called AMP-CapsNet achieved 97.29 percent test accuracy in classifying antimicrobial peptides when using dipeptide composition ...
A capsule neural network model called AMP-CapsNet achieved 97.29 percent test accuracy in classifying antimicrobial peptides when using dipeptide composition ...
A fully computational study reports a 344-residue multi-epitope vaccine targeting the tumor-associated protein SART3 with favorable predicted stability, TLR4 binding ...
A new comment argues that most CYLD variants flagged by computational analysis in a 2024 study lack sufficient evidence for ...
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© 2025 Scienmag - Science Magazine