The prediction of protein three-dimensional structure from amino acid sequence has been a
grand challenge problem in computational biophysics for decades, owing to its intrinsic …

The computational de novo protein design is increasingly applied to address a number of
key challenges in biomedicine and biological engineering. Successes in expanding …

Deep-learning language models have shown promise in various biotechnological
applications, including protein design and engineering. Here we describe ProGen, a …

New variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to
arise and prolong the coronavirus disease 2019 (COVID-19) pandemic. Here, we used a …

There are 20200 possible amino-acid sequences for a 200-residue protein, of which the
natural evolutionary process has sampled only an infinitesimal subset. De novo protein …

Proteins fold into unique native structures stabilized by thousands of weak interactions that
collectively overcome the entropic cost of folding. Although these forces are “encoded” in the …

The regular arrangements of β-strands around a central axis in β-barrels and of α-helices in
coiled coils contrast with the irregular tertiary structures of most globular proteins, and have …

In nature, DNA molecules carry the hereditary information. But DNA has physical and
chemical properties that make it attractive for uses beyond heredity. In this Review, we …

De novo protein design holds promise for creating small stable proteins with shapes
customized to bind therapeutic targets. We describe a massively parallel approach for …

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