🏵️Analysis of Multistationarity in Reaction Networks plus AI Expansion

Multistationarity, the presence of multiple stable states, is key to understanding biological system complexity. It's vital in cell signaling, disease, and therapy. Bistability, a two-state system, is a core concept. Cell signaling pathways, with feedback loops, often exhibit multistationarity. Mathematical modeling, using ODEs and bifurcation analysis, helps identify these states. Computational methods, including interval methods and global optimization, are used for complex networks. Challenges exist in high-dimensional systems and parameter limitations. Analyzing multistationarity offers insights into cellular decision-making, aiding drug discovery and diagnostics.