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`Gating' is a widely observed phenomenon in biochemistry that describes thetransition between the activated (or open) and deactivated (or closed) statesof an ion-channel, which makes transport through that channel highly selective.In general, gating is a mechanism that imposes an additional restriction on atransport, as the process ends only when the `gate' is open and continuesotherwise. When diffusion occurs in presence of a constant bias to a {\itgated} target, i.e., to a target that switches between an open and a closedstate, the dynamics essentially slows down compared to {\it ungated}drift-diffusion, resulting in an increase in the mean completion time. In thiswork, we utilize stochastic resetting as an external protocol to counterbalancethe delay due to gating. We consider a particle that undergoes drift-diffusionin the presence of a stochastically gated target and is moreover subjected to arate-limiting resetting dynamics. Calculating the minimal mean completion timerendered by an optimal resetting for this exactly-solvable system, we constructa phase diagram that owns three distinct phases: (i) where resetting can makegated drift-diffusion faster even compared to the original ungated process,(ii) where resetting still expedites gated drift-diffusion, but not beyond theoriginal ungated process, and (iii) where resetting fails to expedite gateddrift-diffusion. Gated drift-diffusion aptly models various stochasticprocesses such as chemical reactions that exclusively take place for certainactivated state of the reactants. Our work predicts the conditions wherestochastic resetting can act as a useful strategy to enhance the rate of suchprocesses without compromising on their selectivity.

Rate enhancement of gated drift-diffusion process by optimal resetting