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    AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules by Subathra Selvam, Priya Dharshini Balaji, Honglae Sohn, Thirumurthy Madhavan

    Published 2024-12-01
    “…<b>Results:</b> A total of 15 ML models were developed using 2D, FP, and Hybrid feature sets, with the ET model with hybrid features achieving the highest accuracy of 92% and an AUC of 0.97 on the independent test dataset. …”
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