Topics

Researchers design proteins that respond to multiple body signals for targeted treatments, potentially reducing side effects in diseases like cancer.

"Biggest health challenge"

Researchers use generative AI to create bacteria-killing peptides from scratch, matching approved drugs in tests and offering hope against antibiotic resistance.

A user-friendly AI method generates custom proteins to control biological interactions, making advanced binder discovery accessible without needing vast screening or expert computing skills.

This breakthrough uses a protein from living cells as a qubit to sense tiny changes in biology, potentially revolutionizing how we study cells and advance quantum technology.

Scientists have found new ways to genetically engineer living materials and change how these materials act when stretched or squeezed.

Researchers use a new technique to reveal how protein prediction tools make decisions, improving choices for drug and vaccine development while uncovering hidden biological details.

AI creates effective drug candidates by analyzing only the target protein's structure, potentially reducing costs and time in developing treatments for diseases like cancer.

This synthetic biology system enables rapid development of proteins with improved functions, offering breakthroughs in creating treatments for diseases like cancer and neurodegeneration by speeding up lab-based evolution.

This new method brings lab-based protein evolution closer to natural biological processes by incorporating timing and switching behaviors.