Performance of the benchmark method, PocketMiner, and P2Rank was evaluated across different subsets of the CryptoBench test set.
Method . | Dataset . | AUC . | AUPRC . | ACC . | FPR . | TPR . | MCC . | F1 Score . |
---|---|---|---|---|---|---|---|---|
pLM-NN | CB-full | 0.86 | 0.36 | 0.93 | 0.05 | 0.48 | 0.39 | 0.92 |
pLM-NN | CB-PM | 0.88 | 0.43 | 0.93 | 0.04 | 0.52 | 0.44 | 0.93 |
PocketMiner | CB-PM | 0.76 | 0.19 | 0.82 | 0.16 | 0.51 | 0.22 | 0.78 |
pLM-NN | CB-P2RANK-apo | 0.88 | 0.42 | 0.93 | 0.04 | 0.51 | 0.43 | 0.93 |
P2RANK | CB-P2RANK-apo | 0.81 | 0.21 | 0.85 | 0.14 | 0.62 | 0.27 | 0.81 |
P2RANK | CB-P2RANK-holo | 0.89 | 0.34 | 0.85 | 0.15 | 0.84 | 0.38 | 0.81 |
Method . | Dataset . | AUC . | AUPRC . | ACC . | FPR . | TPR . | MCC . | F1 Score . |
---|---|---|---|---|---|---|---|---|
pLM-NN | CB-full | 0.86 | 0.36 | 0.93 | 0.05 | 0.48 | 0.39 | 0.92 |
pLM-NN | CB-PM | 0.88 | 0.43 | 0.93 | 0.04 | 0.52 | 0.44 | 0.93 |
PocketMiner | CB-PM | 0.76 | 0.19 | 0.82 | 0.16 | 0.51 | 0.22 | 0.78 |
pLM-NN | CB-P2RANK-apo | 0.88 | 0.42 | 0.93 | 0.04 | 0.51 | 0.43 | 0.93 |
P2RANK | CB-P2RANK-apo | 0.81 | 0.21 | 0.85 | 0.14 | 0.62 | 0.27 | 0.81 |
P2RANK | CB-P2RANK-holo | 0.89 | 0.34 | 0.85 | 0.15 | 0.84 | 0.38 | 0.81 |
In the first evaluation round, the benchmark method was assessed using the full CryptoBench test set (CB-full). In the second round, both the benchmark method and PocketMiner were evaluated on a subset that included only structures for which PocketMiner did not fail (CB-PM); see Supplementary Material for details. In the third round, the benchmark method and P2rank were tested on a subset consisting solely of single-chain apo structures (CB-P2RANK-apo). Lastly, P2Rank was evaluated on holo structures (CB-P2RANK-holo), which are the counterparts of the apo structures from the CB-P2RANK-apo subset. The comparison between P2Rank’s performance on CB-P2RANK-apo and CB-P2RANK-holo highlights the performance drop when identifying CBSs using a method not specialized for detecting such sites. The F1 score was computed using a weighted average.
Performance of the benchmark method, PocketMiner, and P2Rank was evaluated across different subsets of the CryptoBench test set.
Method . | Dataset . | AUC . | AUPRC . | ACC . | FPR . | TPR . | MCC . | F1 Score . |
---|---|---|---|---|---|---|---|---|
pLM-NN | CB-full | 0.86 | 0.36 | 0.93 | 0.05 | 0.48 | 0.39 | 0.92 |
pLM-NN | CB-PM | 0.88 | 0.43 | 0.93 | 0.04 | 0.52 | 0.44 | 0.93 |
PocketMiner | CB-PM | 0.76 | 0.19 | 0.82 | 0.16 | 0.51 | 0.22 | 0.78 |
pLM-NN | CB-P2RANK-apo | 0.88 | 0.42 | 0.93 | 0.04 | 0.51 | 0.43 | 0.93 |
P2RANK | CB-P2RANK-apo | 0.81 | 0.21 | 0.85 | 0.14 | 0.62 | 0.27 | 0.81 |
P2RANK | CB-P2RANK-holo | 0.89 | 0.34 | 0.85 | 0.15 | 0.84 | 0.38 | 0.81 |
Method . | Dataset . | AUC . | AUPRC . | ACC . | FPR . | TPR . | MCC . | F1 Score . |
---|---|---|---|---|---|---|---|---|
pLM-NN | CB-full | 0.86 | 0.36 | 0.93 | 0.05 | 0.48 | 0.39 | 0.92 |
pLM-NN | CB-PM | 0.88 | 0.43 | 0.93 | 0.04 | 0.52 | 0.44 | 0.93 |
PocketMiner | CB-PM | 0.76 | 0.19 | 0.82 | 0.16 | 0.51 | 0.22 | 0.78 |
pLM-NN | CB-P2RANK-apo | 0.88 | 0.42 | 0.93 | 0.04 | 0.51 | 0.43 | 0.93 |
P2RANK | CB-P2RANK-apo | 0.81 | 0.21 | 0.85 | 0.14 | 0.62 | 0.27 | 0.81 |
P2RANK | CB-P2RANK-holo | 0.89 | 0.34 | 0.85 | 0.15 | 0.84 | 0.38 | 0.81 |
In the first evaluation round, the benchmark method was assessed using the full CryptoBench test set (CB-full). In the second round, both the benchmark method and PocketMiner were evaluated on a subset that included only structures for which PocketMiner did not fail (CB-PM); see Supplementary Material for details. In the third round, the benchmark method and P2rank were tested on a subset consisting solely of single-chain apo structures (CB-P2RANK-apo). Lastly, P2Rank was evaluated on holo structures (CB-P2RANK-holo), which are the counterparts of the apo structures from the CB-P2RANK-apo subset. The comparison between P2Rank’s performance on CB-P2RANK-apo and CB-P2RANK-holo highlights the performance drop when identifying CBSs using a method not specialized for detecting such sites. The F1 score was computed using a weighted average.
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