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Using large-scale computer models and artificial intelligence, researchers discovered that special protein connections called catch-bonds begin to strengthen almost immediately after a pulling force is applied.

Researchers develop a synthetic tau protein fragment to mimic prion-like behavior in Alzheimer’s and other neurodegenerative diseases.

With AI and supercomputers, scientists can predict which proteins might work best without having to test each one.

Researchers have developed a modified version of AlphaFold able to take into account new experimental data to predict how proteins fold.

A machine learning tool predicts amino acid sequences to create proteins for new vaccines and therapies.

New AI tools use plain English to create functional proteins, making biology research easier and opening doors to innovative drug designs.

MIT and Harvard researchers develop a new AI method to predict protein locations in cells, aiding disease diagnosis and research.

MIT scientists have released a new open source AI model to predict protein structure with a performance similar to AlphaFold3.

Engineered cells use a glowing amino acid to reveal real-time protein modifications in diseases like cancer.

"Biggest health challenge"