Kinetic transition networks (databases of connected stationary points on the potential energy surface) for dialanine and tetraalanine peptides, the 38-atom Lennard-Jones cluster, a 60-atom binary Lennard-Jones mixture, a 69-bead model protein, binding modes for influenza virus, and a UUCG RNA tetraloop. These networks, obtained in previous work, are analysed here using topological persistence, to obtain subsets of local minima and hence a reduced description of the underlying energy landscape.

This work was supported by the ERC [grant number 267369].