“…There also exist a number of other studies which use simple feedback structures to create RPA (and approximate RPA) capable networks, but these are also predicated on the use of Michaelis-Menten kinetics [10,49,[51][52][53][57][58][59]61]. In addition, there are a range of analytical and semi-analytical methods, based on time-scale separation [43], control theoretic approaches [53,58,61] and chemical reaction network theory (CRNT) [30,[69][70][71][72], which have successfully been used in the literature to identify RPA capacity (including the capacity for approximate (imperfect) RPA, as well as the special case of RPA known as absolute concentration robustness (ACR)) in a range of signalling networks. While these methods may prove useful for identifying parameter conditions that promote RPA, comparing biologically important functionalities, such as the range of inputs for which RPA obtains, elude these approaches.…”