Fig. 6: Investigation of possible factors that might affect the performance of ProFOLD. | Nature Communications

Fig. 6: Investigation of possible factors that might affect the performance of ProFOLD.

From: CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction

Fig. 6

Correlation between quality of the predicted structures and (a) Meff, (b) the average probability of top L predicted contacts (PPC). For the CASP13 FM target proteins, the correlation coefficient between Meff and TMscore of the predicted structures by ProFOLD is as high as 0.69. The correlation efficient between PPC and TMscore of the predicted structures is 0.82.

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