DAMP 1.0
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资源简介：
DAMP (Disagreements amongst AMP Model Predictions) investigates how computational models differ in their predictions of antimicrobial peptide activity. The project brings together AMP classification and minimum inhibitory concentration (MIC) regression models within a unified, reproducible workflow for evaluating shared peptide datasets. By comparing classification scores, species-specific MIC estimates, and candidate rankings, DAMP aims to characterize agreement and disagreement across models and assess how model choice influences peptide prioritization. Its goal is to support more transparent computational screening and better-informed selection of candidates for experimental validation.
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Zenodo创建时间：
2026-09-27
