Work

Binding memory of liquid molecules

Year: 2025

Type: article

Abstract: Understanding the binding dynamics of liquid molecules is of fundamental importance in physical and life sciences. However, nanoscale fast dynamics pose great challenges for experimental characterization. Conventionally, the binding dynamics have been assumed to be memoryless. Here, we integrate large scale computer simulation, scaling theory, and real-time single particle tracking microscopy with high spatiotemporal precision to unveil a universal memory effect in the binding dynamics of liquid molecules. This binding memory can be quantified by a binding time autocorrelation function, whose power-law decay depends on binding affinity, the topological and materials properties of the surrounding environment and the heterogeneity of the binding landscape. Context-dependent biomolecular binding memory is likely exploited by biological systems to regulate biochemical reactions and biophysical processes. Deciphering this binding memory offers a novel strategy to probe complex biological systems and advanced soft materials. Binding dynamics of liquid molecules are crucial across physical and life sciences, but their nanoscale and rapid nature make them difficult to experimentally characterize. Using simulations, theory, and high precision microscopy, authors uncover a universal power-law decaying binding memory in liquid molecules, revealing how binding history influences future interactions.

Source: Nature Communications

DOI: 10.1038/s41467-025-61630-3