Fig. 3From: 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 ALSAll 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 pathogenicBack to article page