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Figure 1 | BMC Bioinformatics

Figure 1

From: Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations

Figure 1

Scoring 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.

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