Deep-learning methods have revolutionized protein structure prediction and design but are
presently limited to protein-only systems. We describe RoseTTAFold All-Atom (RFAA), which …

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 engineering of natural enzymes has led to the availability of a broad range of
biocatalysts that can be used for the sustainable manufacturing of a variety of chemicals and …

Designing efficient enzymes is a formidable challenge at the forefront of modern
biocatalysis. Here, we review recent developments in the field and illustrate how the …

Achieving cost-competitive bio-based processes requires development of stable and
selective biocatalysts. Their realization through in vitro enzyme characterization and …

Designing proteins with tailored structures and functions is a long-standing goal in
bioengineering. Recently, deep learning advances have enabled protein structure …

Biocatalysis is currently undergoing a profound transformation. The field moves from relying
on nature's chemical logic to a discipline that exploits generic activation modes, allowing for …

Design of metal cofactor ligands is essential for controlling the reactivity of metalloenzymes.
We investigated a carbene transfer reaction catalyzed by myoglobins containing iron …

Nitric oxide (NO) synthesis, signaling, and scavenging is associated to relevant
physiological and pathological events. In all tissues and organs, NO levels and related …

The construction of hybrid materials is significant for the exploration of functionalities in
colorimetric biosensing due to its structural designability and synergy effects. In this work, a …