Kineticnetwork
Kineticnetwork, also written as kinetic network, is a conceptual and computational framework used to describe systems of chemical reactions and state transitions in which the evolution over time is governed by reaction kinetics. In a kinetic network, nodes represent chemical species or states, and directed edges denote transformations between them, each annotated with rate laws that specify how quickly the transformation occurs. Kinetic networks are used across chemistry, biochemistry, pharmacology, and systems biology to model complex sequences of reactions and signaling events.
Two primary modeling paradigms are used: deterministic models, which describe continuous concentrations with ordinary differential equations
Analysis aims to understand dynamic behavior such as steady states, oscillations, or multistability, and to identify
Software tools commonly used to build and analyze kinetic networks include COPASI, BioNetGen, PySB, Kappa, and