Figure 1From: Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutationsScoring the method at increasing number of sequences in the MSA. The accuracy per protein (Qp) of the different methods is plotted as a function of the number of protein chains in the multiple sequence alignment (MSA quality) used to derive information on correlated mutations. MIp: corrected Mutual Information; iCOV: sparse inverse COVariance estimation; SVR: Support Vector Regression; and their combinations as indicated. For details see Methods.Back to article page