A two dimensional simulation of microtubule dynamics

We propose a two dimensional model to simulate microtubule dynamics. Microtubules are polymers that are important in many cell functions including cell division. In particular, chemotherapy targets microtubule dynamics in order to slow cancer cell reproduction. Traditional stochastic or chemical models for microtubule dynamics are one-dimensional, focusing on one variable such as length or concentration. We combine a traditional microtubule instability model and a chemical model and propose a two dimensional space for these models to interact. This gives a more realistic simulation of microtubule dynamics as it allows interaction of different microtubules. It can also simulate microtubule movement under different conditions. Our approach quantifies microtubule images and models microtubule dynamics within a synthesis-analysis framework.