Learning Topological Representations of Protein Structure and Dynamics
The study introduced Persistent Homology (PH) and a protein-specific adaptation called the masked Flood complex to create topological summaries from molecular dynamics simulations. This method provides a single, information-rich representation that performs best across multiple tasks, including protein class prediction, predicting physical properties like RMSD, and estimating Markov State Models (MSMs).