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Figure 3 | BMC Bioinformatics

Figure 3

From: Benchmarking consensus model quality assessment for protein fold recognition

Figure 3

A benchmark of the consistency of the ModFOLD predicted model quality score. The proportion of true positives is plotted against the proportion of false positives. The CASP7 fold recognition server models (21714 models from 87 targets -see methods) were ranked by decreasing predicted model quality score using ModFOLD and the different MQAP methods that make up the ModFOLD method. False positives were defined as models with TM-scores ≤ 0.5, indicating models that have a different fold to the native structure. True positives were defined as models with TM-scores > 0.5 indicating models that share the same fold as the native structure [17]. The plot shows the proportion of true positives at the region of < = 10% false positives.

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