ToxMamba: a novel method for toxic peptide prediction based on the fusion of pretrained embeddings and multi-scale state space models
Abstract Peptide therapeutics offer great promise in drug discovery, yet the accurate identification of peptide toxicity remains essential for both safety assessment and biodefense. We developed ToxMamba, a toxic peptide prediction framework that integrates Implicit Structure Model (ISM)-derived pretrained embeddings,...