  Protein fold classification is a classic problem in structural biology and
bioinformatics. We approach this problem using persistent homology. In
particular, we use alpha shape filtrations to compare a topological
representation of the data with a different representation that makes use of
knot-theoretic ideas. We use the statistical method of Angle-based Joint and
Individual Variation Explained (AJIVE) to understand similarities and
differences between these representations.
