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. 2022 Sep 23;13:1009996. doi: 10.3389/fphar.2022.1009996

TABLE 5.

Comparison of EFMSDTI with other state-of-the-art methods for DTIs prediction.

Model AUROC AUPR
EFMSDTI 0.982 0.982
NEDTP An and Yu, (2021) 0.971 0.967
deepDTnet Zeng et al. (2020) 0.963 0.969
NeoDTI Wan et al. (2018) 0.97 0.91
DTINet Luo et al. (2017) 0.932 0.943