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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Accuracy of a machine learning method based on structural and locational information from AlphaFold2 for predicting the pathogenicity of TARDBP and FUS gene variants in ALS

Fig. 3

All variants of TARDBP and FUS in the dataset were divided into positive variants (red) associated with ALS and negative variants (light blue) recognized in the general population. For Polyphen-2, pph2_prob (classifier probability of the variation being damaging), and MOVA, the 5F-MV value was plotted on the y-axis as the predicted value and the residue number was plotted on the x-axis. Both pph2_prob and 5F-MV take values between 0 and 1, with 1 having the highest probability of being pathogenic

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