University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a ...

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 ...

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 ...

Tamarind’s platform for model coordination and inference enables user-friendly AI tools for life science researchers.

John Jumper (S.M. ’12, Ph.D. ’17) was awarded the Nobel Prize in Chemistry in 2024 for his contributions to the development of AlphaFold, an AI model that revolutionized protein structure prediction.

The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. These ...

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.

A new artificial intelligence-driven pipeline developed in a collaborative research combines protein structure prediction, sequence design, and live-cell screening together to enable rapid conversion ...

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 ...

Scientists have uncovered new DNA-binding proteins from some of the most extreme environments on Earth and shown that they can improve rapid medical tests for infectious diseases. The work has been ...