The twenty-first century is presenting humankind with unprecedented environmental and
medical challenges. The ability to design novel proteins tailored for specific purposes would …

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 …

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

Protein design aims to build novel proteins customized for specific purposes, thereby
holding the potential to tackle many environmental and biomedical problems. Recent …

Deep learning generative approaches provide an opportunity to broadly explore protein
structure space beyond the sequences and structures of natural proteins. Here, we use deep …

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

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 …

In the early 2000s, Tawfik presented his 'New View'on enzyme evolution, highlighting the
role of conformational plasticity in expanding the functional diversity of limited repertoires of …

Protein design has come of age, but how will it mature? In the 1980s and the 1990s, the
primary motivation for de novo protein design was to test our understanding of the …

Natural metalloproteins perform many functions—ranging from sensing to electron transfer
and catalysis—in which the position and property of each ligand and metal are dictated by …