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Table 4 Model selection ability on ab initio datasets for DeepQA, ProQ2, Dope2, and RWplus score based on TM-score and RMSD, and their summation of Z-score

From: DeepQA: improving the estimation of single protein model quality with deep belief networks

QA methods TM-score on top 1 model/SUM Z-score (>0.0) RMSD on top 1 model/SUM Z-score (<0.0) TM-score on best of top 5/SUM Z-score (>0.0) RMSD on best of top 5/SUM Z-score (<0.0)
DeepQA 0.23/0.86 19.01/-0.76 0.26/1.78 17.14/-1.52
ProQ2 0.22/0.40 19.73/-0.37 0.25/1.28 17.93/-1.04
Dope 0.22/0.49 19.55/-0.51 0.24/1.13 18.10/-1.00
RWplus 0.22/0.53 19.68/-0.35 0.25/1.49 17.38/-1.41
Mean 0.22/0.68 19.49/-0.64 0.25/1.46 17.64/-1.26