Control Theoretic Approach to Predict Shock Response in Yeast

TL;DR

This paper develops a control theoretic model to accurately predict yeast's hyper osmotic shock response, simplifying complex signaling dynamics into a minimal second-order linear system.

Contribution

It introduces a novel control theoretic framework for modeling yeast osmotic shock response, combining system identification with stability theory for concise dynamics representation.

Findings

Model accurately predicts yeast response to osmotic shocks

Minimal second-order system captures key signaling dynamics

Validation confirms model's predictive capability

Abstract

This report formulates a minimal model based on a control theoretic framework to best describe the dynamics of perfect adaptation shown by the hyper osmotic shock response system in yeast. Using principles from adaptive control and stability theory, we step by step apply system identification methods to build a simple second order linear system with only a few parameters, that can concisely model the High Osmolarity Glycerol (HOG) Mitogen Activated Protein Kinase (MAPK) signaling dynamics. Validation with experimental data demonstrate that the model is sufficient to predict response of yeast to an arbitrary external osmotic shock stimulus.