ABSTRACT
In this chapter, we provide a brief description of the protein-folding and inverse-folding problems, and then move on to discuss the design of energy functions for protein recognition based on machine learning approaches. The energy functions are applied to estimate the sequence capacity of all known protein folds and to compute the evolutionary temperature(s) of embedding sequences in known protein structures.
