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    <dc:creator>Yang, Zhibin</dc:creator>
    <dc:title>Supporting Information: Integrated Machine Learning, QSAR, SHAP, and Molecular Dynamics Pipeline for Peptide Activity Analysis</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This repository contains the comprehensive computational workflow, source code, input datasets, and output results for the identification, evaluation, and modeling of active peptides. The analytical pipeline integrates multi-criteria decision-making (MCDM), Quantitative Structure-Activity Relationship (QSAR) machine learning modeling, SHAP-based interpretability, and Molecular Dynamics (MD) simulation trajectory analysis.</dc:description>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Quantitative Structure-Activity Relationship</dc:subject>
    <dc:subject>Molecular Dynamics</dc:subject>
    <dc:subject>Venom Peptide</dc:subject>
    <dc:subject>Omics</dc:subject>
    <dc:subject>Virtual Screening</dc:subject>
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    <dc:identifier>oai:data.mendeley.com/3yhgz8bdsv.1</dc:identifier>
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