Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
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 ...
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 ...
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 ...
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 ...
A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...
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