A new study from the Hebrew University of Jerusalem published in the Proceedings of the National Academy of Sciences sheds light on one of life's greatest mysteries: why biology is based on a very ...

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. Viro3D provides proteome-level, high ...

Abstract: In recent years, deep learning on protein structures has attracted widespread attention, as structures determine proteins' function. A series of structure-based protein property prediction ...

The stock of Structure Therapeutics has dropped over 55% since my last review of this company last June, making it worth a fresh look after its big decline. The company’s lead asset, GSBR-1290, ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

Abstract: Deep learning-based protein function analysis is rapidly advancing, but most methods rely heavily on labeled data, which is typically scarce due to the need for expensive wet lab experiments ...

Using AI, scientists have built a “GPS” for cancer-fighting immune cells. It’s a molecular navigation system that helped the cells lock onto cancer, kind of like Google Maps guiding travelers to a new ...

Inside each cell of the human body are proteins that control which genes are expressed at the right place and time. However, intriguingly, many of the most important proteins involved in gene ...

A three-decade-old competition that has spawned three Nobel laureates is becoming victim to the chaos at the National Institutes of Health. The Community Wide Experiment on the Critical Assessment of ...

The Alphafold machine learning system for predicting a protein’s structure from its amino acid sequence has been adapted to make it possible to design de novo proteins that fold in a particular way ...