Better way to spot noise in protein structure data from NMR experiments

Researchers developed a new measurement called the Spectral Coherence Index that can reliably distinguish real protein motion from measurement artifacts in NMR data — it correctly identifies real structures 95.5% of the time and false ones 89.1% of the time. This matters because NMR experiments produce fuzzy structural snapshots, and scientists have struggled to know which variations in those snapshots represent actual biological flexibility versus just experimental noise, which affects how they interpret protein behavior.

NMR spectroscopy is one of the main ways biologists determine protein structures, but for decades there has been no standard way to quality-check whether the structural variation you're seeing is real biology or just measurement error. This tool gives labs a reproducible filter, which means more reliable protein structure data flowing into drug design, structural biology research, and machine learning models that learn from protein structures.