It Takes Two to Make a Thing Go Right: Boosting Current in Coupled Motors
Geyao Gu, Drew Alvarez, John Strahan, Alex Albaugh, Emanuele Penocchio, Todd R. Gingrich
TL;DR
The study tackles boosting current in catalysis-driven synthetic motors operating under loose mechanochemical coupling by coupling two motors on offset tracks. It employs two complementary models—an explicit particle-based MD framework and a coarse-grained jump-diffusion model—to show that mechanical coupling can produce a real, single-digit boost in current $j$ by elevating activity $\mathcal{A}$, even as the bias $\Gamma$ is partially diminished; raising the fuel concentration helps recover the lost bias. A key insight is a two-step design rule: first increase activity via coupling (e.g., offset geometry with intermediate coupling), then restore directionality by stronger driving (higher fuel or $k_\mathrm{attach}^{\mathrm{far}}$). The results imply that cooperative coupling can turn slow, loosely coupled motors into faster collective machines, though achieving orders-of-magnitude boosts would require new architectures that move beyond discrete, rare hops between fixed binding sites. Overall, the work provides mechanistic and design principles for constructing cooperative molecular machines with enhanced current under nonequilibrium fueling.
Abstract
Catalysis-driven synthetic molecular motors operate in a loose mechanochemical coupling regime, one in which a decomposition of a fuel molecule does not reliably produce a forward step. In that regime, stochastic backward steps can significantly degrade the motor's current, prompting us to ask whether mechanically coupling multiple such motors can boost their averaged current. By simulating rotaxane-based motors with two classes of models--particle-based nonequilibrium molecular dynamics and jump-diffusion models--we show that current boosts are physically achievable. Our observed boosts, which amplify current by single-digit factors, emerge when coupling between motors can increase the activity, speeding up the rate of both forward and backward steps. In doing so, the bias for preferring forward steps actually degrades, but the lost bias can be largely recovered by raising the fuel concentration, demonstrating a general design strategy: amplify activity through coupling and restore bias through stronger driving.
