To make the streamline distribution method widely applicable, as well as efficient, we developed a benchmarking method for the number of streamlines N and step size δ parameters illustrated in Fig. . We perform MD simulations of each enzyme and sample three frames, at random, to compute field streamline distributions with several values of N and 𝛿𝛿. We chose N = 100,000 and 𝛿𝛿 = 0.001 as the high sampling limit, as both parameters combined imply a sub 0.1 Å resolution of the field, and thus precise sampling. By generating a 𝜒𝜒 ! pairwise distance matrix, we obtain values of N and 𝛿𝛿 at which the distributions converge. All three systems demonstrated converged field streamline distributions where we define convergence as a 𝜒𝜒 ! distance less than 0.1 relative to the high sampling limit, at N = 100,000 and 𝛿𝛿 = 0.01. Users can perform similar parameter benchmarking on other systems with scripts we have provided.