NoiTox: A Machine Learning Strategy for Peptide Toxicity Prediction Reveals Label Noise in Benchmark Datasets
Motivation Peptide toxicity remains a major bottleneck in drug development, as small sequence variations can drastically alter cytotoxic profiles. Experimental assessment is costly and time-consuming, motivating computational predictors. Existing approaches often rely on single black-box architectures, limiting interpr...
Gustavo O. Almeida, Matheus C. Albuquerque, Bruno M. Silva et al.
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