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 …

Cytokines have pivotal roles in immunity, making them attractive as therapeutics for a variety
of immune-related disorders. However, the widespread clinical use of cytokines has been …

Advances in DNA sequencing and machine learning are providing insights into protein
sequences and structures on an enormous scale. However, the energetics driving folding …

The recent discovery of Is PETase, a hydrolytic enzyme that can deconstruct poly (ethylene
terephthalate)(PET), has sparked great interest in biocatalytic approaches to recycle …

Natural proteins are highly optimized for function but are often difficult to produce at a scale
suitable for biotechnological applications due to poor expression in heterologous systems …

Computational methods that predict protein stability changes induced by missense
mutations have made a lot of progress over the past decades. Most of the available methods …

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 …

Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …

The ease of genetic manipulation, low cost, rapid growth and number of previous studies
have made Escherichia coli one of the most widely used microorganism species for …

Amino acid mutations that lower a protein's thermodynamic stability are implicated in
numerous diseases, and engineered proteins with enhanced stability can be important in …