Existing protein structure prediction software, like the popular protein folding package, Rosetta, 29 leverages tools like fragment assembly, rotamer libraries, 32 homology modeling, 33,34 knowledge-based potentials 35 and machine learning, 36,37 to take advantage of the abundance known structures in online databases, such as the Protein Databank, 38 to quickly sample structures that are similar to existing proteins structures. Unfortunately for foldamer structure prediction and design, there is a very limited set of solved structures to guide modeling approaches. Any computational or theoretical approach to modeling foldamers for now must be primarily based on physical models.