Multi-scale stochastic organization-oriented coarse-graining exemplified on the human mitotic checkpoint.

摘要: The complexity of biological models makes methods for their analysis and understanding highly desirable. Here, we demonstrate the orchestration various novel coarse-graining by applying them to mitotic spindle assembly checkpoint. We begin with a detailed fine-grained spatial model in which individual molecules are simulated moving reacting three-dimensional space. A sequence manual automatic coarse-grainings finally leads coarsest deterministic stochastic containing only four molecular species states each kinetochore, respectively. able relate more coarse-grained level finer one, allows us parameters between provides precise meaning elements abstract models. Furthermore, discuss how organizational can be applied dynamics showing organizations during checkpoint inactivation. these lead insights if has different “meaningful” behaviors that differ set (molecular) species. conclude understanding, modeling analyzing complex bio-molecular systems greatly benefit from that, ideally, automatically allow levels abstraction related.