Mean-field cooperativity in chemical kinetics
Aldo Di Biasio, Elena Agliari, Adriano Barra, Raffaella Burioni

TL;DR
This paper uses mean-field statistical mechanics models to analyze cooperative reactions, linking microscopic interactions to macroscopic reaction rates, and introduces criteria to distinguish weak and strong cooperativity.
Contribution
It develops a unified mean-field framework for cooperative reactions, including criteria for weak and strong cooperativity and extension to p-body interactions.
Findings
Model recovers all cooperative measures with positive coupling
Introduces susceptibility-based criterion for cooperativity strength
Extends to p-body interactions for multiple attachments phenomena
Abstract
We consider cooperative reactions and we study the effects of the interaction strength among the system components on the reaction rate, hence realizing a connection between microscopic and macroscopic observables. Our approach is based on statistical mechanics models and it is developed analytically via mean-field techniques. First of all, we show that, when the coupling strength is set positive, the model is able to consistently recover all the various cooperative measures previously introduced, hence obtaining a single unifying framework. Furthermore, we introduce a criterion to discriminate between weak and strong cooperativity, based on a measure of "susceptibility". We also properly extend the model in order to account for multiple attachments phenomena: this is realized by incorporating within the model -body interactions, whose non-trivial cooperative capability is…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
