Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …

Plastic waste poses an ecological challenge 1, 2, 3 and enzymatic degradation offers one,
potentially green and scalable, route for polyesters waste recycling 4. Poly (ethylene …

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 …

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 …

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 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 …

Thermostability is an essential requirement for the use of enzymes in the bioindustry. Here,
we compare different protein stabilization strategies using a challenging target, a stable …

Engineering stabilized proteins is a fundamental challenge in the development of industrial
and pharmaceutical biotechnologies. We present Stability Oracle: a structure-based graph …

Global environmental issues and sustainable development call for new technologies for fine
chemical synthesis and waste valorization. Biocatalysis has attracted great attention as the …