Figure 5: % of CASP14 (blue) and CASP15 (red) protein assembly targets with high quality (>0.8) and low quality (<0.5) computed models as measured by the average contact precision (left) and recall (right ) (11). In CASP15 the fraction of high-quality models increased from less than 10% to more than 60% by both measures. Correspondingly, the fraction of poor-quality models dropped precipitously.
As figure 5 shows, the improvement in performance compared to the previous CASP is dramatic, and attributable to deep learning methods displacing earlier classical docking and homology methods.