Zhe Su

Persistent Manifold Learning of Protein Properties

PML is introduced, a novel computational framework that describes a binding interface as a family of multiscale manifolds, and results indicate that much of what determines binding strength is encoded in the shape of the interface itself, and that a single geometric description serves both classes without hand-tailored features.