Table 6.
This table summarizes the main features, advantages, and limitations of the Goldbeter, De Young-Keizer, Atri, Li-Rinzel, and De Pittà models, providing with a quick reference to understand the merits and constraints of each modeling approach.
| Comparative overview of mathematical model for Calcium dynamics | |||
|---|---|---|---|
| Model | Main Features | Advantages | Limitations |
| Goldbeter | A minimalistic model for calcium oscillations based on enzymatic feedback | Simple and intuitive; highlights basic oscillatory mechanisms. | Does not capture specific details of IP3 receptors and more complex molecular interactions. |
| De Young-Keizer | Provides a detailed description of the IP3 receptor with multiple states (activation and inhibition) and calcium dynamics. | Offers a realistic and in-depth representation of the IP3/Ca2+ system. | Highly complex with many parameters, making analysis and calibration challenging. |
| Atri | A simplified model that integrates both positive and negative feedback in the IP3-Ca2+ system. | Facilitates theoretical analysis and bifurcation studies thanks to its reduced structure. | The simplification may overlook some relevant molecular details. |
| Li-Rinzel | A reduced version of the De Young-Keizer model that retains the essential dynamics of calcium oscillations. | Balances key mechanism simplicity with ease of mathematical analysis | Balances key mechanism simplicity with ease of mathematical analysis |
| De Pittà | Integrates molecular and spatial aspects, making it particularly suitable for simulating complex dynamics (e.g., in astrocytes). | Provides a comprehensive and versatile approach to simulate complex interactions in physiological contexts. | High computational complexity and numerous parameters make calibration challenging. |