A team led by the Institute of Science and Technology Austria (ISTA), working with partners abroad, has merged multiple imaging methods to reveal the dynamic motions of proteins. These movements, often described as molecular "breathing," are essential for biological function yet are typically frozen in traditional atomic-level snapshots. The findings, published in Nature Chemistry, show how certain experimental techniques can inadvertently mask these motions.
Static protein structures have long been a cornerstone of structural biology, but they fail to capture the flexibility that governs many cellular processes. The new work directly addresses this limitation by integrating approaches that detect both the average shape and the range of motion. This insight promises to reshape how scientists think about protein function and interaction.
The team's combined methodology allowed them to observe distinct "breathing" states in a test protein, providing a richer view than any single technique could offer. No specific numerical values were detailed in the available source beyond describing the atomic-level precision that structural biology now routinely achieves. The study underscores how even highly resolved static models can miss critical conformational changes.
Better understanding of protein dynamics could accelerate the design of novel proteins with tailored functions. It may also improve AI-based tools that predict protein structure from sequence, which currently rely heavily on static datasets. Researchers expect the work to influence drug discovery, where protein motion often dictates binding efficacy.
"This is a shift from looking at snapshots to watching the movie," said an ISTA researcher involved in the study, as reported by Phys.org.