University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
Artificial intelligence has solved one of biology’s most stubborn mysteries: how proteins fold into their intricate three-dimensional shapes. But as the field shifts from prediction to application, a ...
Five years ago, our AlphaFold AI system solved the 50-year grand challenge of protein structure prediction. But that's not ...
7d
When AI meets physics: Unlocking complex protein structures to accelerate biomedical breakthroughs
Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...
Baker, Hassabis, Jumper Awarded Nobel Prize in Chemistry for Protein Design and Structure Prediction
Three scientists were named winners of the 2024 Nobel Prize in Chemistry for their innovations in the fields of computational protein design and structure prediction. One half of the prize was awarded ...
In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled, “Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure ...
Northwestern University researchers have identified structural features in engineered cell receptors that correlate with ...
Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results