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. Author manuscript; available in PMC: 2019 Jan 24.
Published in final edited form as: Cell Syst. 2017 Dec 20;6(1):65–74.e3. doi: 10.1016/j.cels.2017.11.014

Figure 2. Improved Performance of DeepContact on Benchmark Datasets.

Figure 2

(A) DeepContact outperforms CCMPred on the ASTRAL validation set using only CCMPred as features. Including other features further improves the precision-recall performance.

(B) Precision-recall performance of contact-prediction methods on the CAMEO dataset. DeepContact further outperforms metaPSICOV on the CAMEO dataset.

(C) Precision-recall performance of contact-prediction methods on the CASP228 dataset. On all three validation sets, using our novel probability cutoff enables enhancement of the precision/recall characteristics of DeepContact. Effectively, we exclude sequences or contacts with little confidence, and include contacts in which we have more confidence, leading to improved performance.

(D) The improved contact-prediction performance of DeepContact over CCMPred leads to improved contact-assisted folding across the CASP12 free-modeling target set. Targets where folding failed using CCMPred contacts are plotted at a TM-score of 0.