An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation. The study, published in the ...

The world of protein engineering just took a giant leap forward. A team in China has developed a method that makes designing better proteins faster, cheaper, and easier. Led by Professor Gao Caixia ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

A platform to engineer enzymes responsible for the formation of amide bonds as an effort toward developing biocatalysts for green chemistry. Amide bonds — a type of chemical bond formed between a ...

Structural biology is shifting from predicting protein shapes to uncovering broader organizational rules; AI tools like AlphaFold have made large-scale protein structure data far ...

Marc Zimmer does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Machine-learning platform enables signal peptide-informed discovery of small molecules that selectively inhibit protein secretion allowing for the degradation of disease-related proteins at the point ...