Select an option below to continue reading this premium story. Already a Honolulu Star-Advertiser subscriber? Log in now to continue reading. Moreover, protein folding doesn’t happen in isolation.

In order to fulfill their many functions, proteins must be folded into the correct shape. Researchers at the University of Basel have now discovered tiny "folding factories" in cells that enable ...

Protein folding is a critical process by which linear chains of amino acids adopt specific three‐dimensional conformations essential for biological function. In recent years, studies have increasingly ...

Researchers have developed a method to evaluate the folding stability of a million proteins simultaneously. DNA libraries were used to generate protein -- DNA complexes that were treated with enzymes ...

Numerous BYU students, including Mikaila Sass (pictured), worked with Dr. Willardson in his lab on this discovery. The human body heavily relies on protein molecules for proper functioning. Protein ...

Proteins are important molecules that perform a variety of functions essential to life. To function properly, many proteins must fold into specific structures. However, the way proteins fold into ...

Membrane proteins constitute a significant fraction of cellular proteomes and play indispensable roles in signalling, transport, and metabolism. Their folding and subsequent stability are not only ...

WEST LAFAYETTE, Ind. — The shared culprit in a slew of diseases — cancers, neurodegenerative diseases, diabetes — is molecules our cells have made incorrectly. Think of them as proteins gone wrong.

"Because of the nature of this type of misfolding, the protein gets stuck," Jiang said. "The protein must backtrack in the folding process to correct the mistake, which takes time and is energetically ...

Protein folding raises some of biology's greatest theoretical challenges. It also lies at the root of many diseases. For example, the fundamental question of whether a protein's final tertiary ...

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle ...