Deep learning is catalyzing a scientific revolution fueled by big data, accessible toolkits, and
powerful computational resources, impacting many fields, including protein structural …

Since the first revelation of proteins functioning as macromolecular machines through their
three dimensional structures, researchers have been intrigued by the marvelous ways the …

We consider the problem of predicting a protein sequence from its backbone atom
coordinates. Machine learning approaches to this problem to date have been limited by the …

Although deep learning has revolutionized protein structure prediction, almost all
experimentally characterized de novo protein designs have been generated using …

Protein side-chain packing (PSCP), the task of determining amino acid side-chain
conformations given only backbone atom positions, has important applications to protein …

The task of protein sequence design is central to nearly all rational protein engineering
problems, and enormous effort has gone into the development of energy functions to guide …