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. 2022 Jun 15;20:3223–3233. doi: 10.1016/j.csbj.2022.06.025

Table 3.

The reported performance and efficiency of PPI deep learning methods.a

Method Acc. (%) Prec. (%) Sen. (%) Spec. (%) F1 (%) MCC (%) AUC AUPRC Training time Training environment Benchmark
DeepPPI [35] 94.43 96.65 92.06 NA NA 88.97 NA NA 369 s Intel Xeon E2520 CPU with 16G memory S. cerevisiae Core Subset from DIP
DPPI [33] 94.55 96.68 92.24 NA NA NA NA NA NA 32 AMD 6272 CPUs S. cerevisiae core subset from DIP
DeepFE-PPI [36] 94.78 96.45 92.99 NA NA 89.62 NA NA 1008 s Intel Core i5-7400 with 16G memory S. cerevisiae core subset from DIP
PIPR [34] 97.09 97.00 97.17 97.00 97.09 94.17 NA NA 150 s NVIDIA GeForce GTX 1080 Ti GPU S. cerevisiae core subset from DIP
S-VGAE [51] 99.15 98.90 99.41 98.89 99.15 NA NA NA NA NVIDIA GeForce GTX 1080 GPU with 7 GB memory H. sapiens PPIs from HPRD
Liu’s work [77] 95.33 97.02 93.55 NA NA NA NA NA NA NA S. cerevisiae core subset from DIP
DeepViral [66] NA NA NA NA NA NA 0.800 NA NA Nvidia Tesla V100 GPU Host and pathogen PPIs from HPIDB
FSNN-LGBM [52] 98.70 99.11 98.28 99.12 NA 97.41 0.997 NA NA NA S. cerevisiae core subset from DIP
DeepTrio [40] 97.55 98.95 96.12 98.98 97.52 95.15 NA NA NA NVIDIA Tesla P100 GPU with 16 GB memory S. cerevisiae PPIs from BioGRID
FSFDW [78] NA NA NA NA NA NA 0.794 NA NA NA E. coli PPI dataset
NXTfusion [68] NA NA NA NA NA NA 0.988 0.778 NA NA H. sapiens PPIs used in FPClass [93]
MTT [57] NA 93.53 94.05 NA 93.79 NA 0.980 0.980 NA NVIDIA GTX 1080-Ti GPU with 11 GB memory VirusMINT database
CAMP [79] NA NA NA NA NA NA 0.872 0.641 2 h 48 CPU cores and one NVIDIA GeForce GTX 1080Ti GPU Protein-peptides interactions from the RCSB PDB and DrugBank
D-SCRIPT [60] NA 72.8 27.8 NA NA NA 0.833 0.516 3 days A single 32 GB GPU H. sapiens PPIs from STRING
TAGPPI [63] 97.81 98.10 98.26 98.10 97.80 95.63 0.977 NA NA NVIDIA TITAN RTX with 24 GB memory S. cerevisiae PPIs from DIP
a

NA, not available from the original paper.