The frequency at which data is collected during the simulation can greatly affect both storage usage and analysis efficiency. Frequent data collection (i.e., short intervals between frames) provides high-resolution insight into system dynamics but can drastically increase storage requirements and slow down the simulation. Conversely, less frequent data collection saves space and computational time, but you risk missing important short-timescale events, especially for fast-moving atoms or processes. Ideally, frame frequency should match the timescale of the molecular motions of interest. For example, studies of allosteric networks should collect data more frequently due to rotamer motion timescales (which drive allosteric coupling) happen on the tens of picoseconds timescale . For fast systems, a higher frame rate is essential, whereas slower systems allow for lower-frequency saves.