Figure 1
From: Predicting and improving the protein sequence alignment quality by support vector regression
Generation of the input feature vectors from alignments. (a) The sequence of a template of length n is aligned to the sequences of examples by profile-profile alignment method. (b) Each alignment is transformed to (n + 1)-dimensional feature vector composed of the alignment scores at n positions and the total alignment score. (c) These feature vectors are used to train SVR model for the target template.