Performance of various algorithms to classify heme-binding sites.
收藏NIAID Data Ecosystem2026-03-10 收录
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DeepDrug3D is compared to volume- and shape-based approaches, a classifier employing the histogram of gradients with principal component analysis (HOG/PCA), pocket matching with G-LoSA, molecular docking with Vina, and sequence signature detection with ScanProsite. The performance is assessed with the accuracy (ACC), precision (PPV), sensitivity (TPR), specificity (TNR), and the area under the curve (AUC).
创建时间：
2019-02-14
