Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...

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 ...

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 ...

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 ...

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 ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid sequences, surpassing slower, more expensive traditional methods. ML-based ...

In his proposal to NSF, Luo coined this rich-get-richer effect “annotation inequality.” One problem of annotation inequality ...

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