This website contains supplementary data for "Recognition of Beta-structural Motifs Using Hidden Markov Models trained with Simulated Evolution" by Anoop Kumar and Lenore Cowen, Submitted for publication.

Datasets Using simulated Evolution
Simple Mutation Model
Beta-strand Mutation Model
Combined simple and beta-strand mutation model

Results

Median percent AUC improvement with mutation rate for HMMs trained with pointwise mutations. The maximum median improvement is 3.72% at 15% mutation rate


Median percent AUC improvement with mutation rate for HMMs trained with pairwise mutations. The maximum median improvement
is 4.79% at 50% mutation rate


Median percent AUC improvement with mutation rate for HMMs trained with and dataset augmented with combined pointwise and
pairwise mutations. The maximum median improvement is 4.95% at pairwise mutation rate of 10% and pointwise mutation rate of 15%


Scatter plots displaying the variation in AUC improvement with the a) variation in superfamily, b) percentage of sequences in superfamily
represented in the training family, and c) entropy of sequences in training fanmily