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. 2023 Jan 19;14(8):2054–2069. doi: 10.1039/d2sc06576b

Performance comparison with other state-of-the-art baselines on the virtual screening dataset (top-1 values of test metrics for each target are bolded).

Targets Metal ions ROC_AUC EF1%
MetalProGNet NNScore2.0a Glide SP PLANTS MM/GBSA(OPLS_2005) MM/GBSA(OPLS3e) MetalProGNet NNScore2.0 Glide SP PLANTS MM/GBSA(OPLS_2005) MM/GBSA(OPLS3e)
mmp2 Zn 0.942 0.588 0.588 0.554 0.507 0.585 24.903 2.362 0.000 2.335 0.000 0.000
adam17 Zn 0.956 0.576 0.765 0.551 0.601 0.540 30.509 2.365 7.096 7.421 7.409 2.470
pde5 Zn 0.603 0.614 0.564 0.651 0.770 0.646 3.306 4.964 7.445 7.439 2.476 9.903
sars-hcov Zn 0.540 0.488 0.587 0.421 0.471 0.514 0.000 2.371 2.371 5.060 0.000 0.000
qpct Zn 0.729 0.454 0.456 0.265 0.333 0.373 5.551 0.000 0.000 0.000 0.000 0.000
pde4b Zn 0.713 0.633 0.624 0.606 0.519 0.407 6.313 0.000 2.369 2.367 0.000 4.723
a

The values taken from the publication.53