Modeling Resiliency in Biochemical Systems

[BrainAnnex]

I just finished reading a fascinating new (pre-print) paper on A Minimal Model Explains Aging Regimes and Guides Intervention Strategies

The authors delineate a bare-bones mathematical model that captures a number of (sometime-puzzling) general empirical principles of Longevity Science; in particular, the profoundly-different modalities of long-lived organisms, incl. humans (which they call "stable" animals; stable in the sense of a dynamical system) vs. short-lived ones, incl. mice (which they call "unstable" animals)...

One take-home thought for Life123 is about future investigations of resiliency in biochemical systems.

A shorter-term goal of Life123 is the exploration of dynamical systems that exhibit behaviors that mirror homeostasis/allostasis in biological systems.

A view of the concept of resiliency (not sure if I'm using exactly as meant by the paper's authors - but this is my take on it) is to investigate how the "homeostasis/allostasis" exhibited by some biochemical circuits, changes when some internal parameters of the system are artificially disturbed.... What happens to the system's ability to "recover from typical environmental and intrinsic perturbations", to use the terminology from that paper? Does it:

• still remains strongly in place?
• get slightly weakened?
• get substantially weakened?
• get obliterated?

I.e., what kind of resiliency is the system exhibiting?

Also, can we model systems with such high resiliency over accumulated small changes (akin to aspects of "aging") that we obtain the counterpart of the "stable organisms"? Could a re-organization of the biochemical circuits lead to equivalent functioning, and similar homeostasis/allostasis, but in a form that resembles the macroscopic long-term trajectory of "stable organisms"?