Role of Computational Modeling in Understanding Cell Cycle Oscillators

Abstract

The periodic oscillations in the activity of the cell cycle regulatory program, drives the timely activation of key cell cycle events. Interesting dynamical systems, such as oscillators, have been investigated by various theoretical and computational modeling methods. Thanks to the insights achieved by these modeling efforts we have gained considerable insights about the underlying molecular regulatory networks that can drive cell cycle oscillations. Here we review the basic features and characteristics of biological oscillators, discussing from a computational modeling point of view their specific architectures and the current knowledge about the dynamics that the life evolution selected to drive cell cycle oscillations.

A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators

“…To get a deeper insight into the biological oscillators, dynamical systems techniques based on computational and mathematical modeling are usually applied 21,[36][37][38][39][40][41] . For systems in small scales, spatial movements including molecular and ion diffusion cannot be neglected when modeling because they would cause heterogeneity patterns (Fig.…”