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Dataset Information

Potential based, spatial simulation of dynamically nested particles.


ABSTRACT:

Background

To study cell biological phenomena which depend on diffusion, active transport processes, or the locations of species, modeling and simulation studies need to take space into account. To describe the system as a collection of discrete objects moving and interacting in continuous space, various particle-based reaction diffusion simulators for cell-biological system have been developed. So far the focus has been on particles as solid spheres or points. However, spatial dynamics might happen at different organizational levels, such as proteins, vesicles or cells with interrelated dynamics which requires spatial approaches that take this multi-levelness of cell biological systems into account.

Results

Based on the perception of particles forming hollow spheres, ML-For

SUBMITTER: Koster T 

PROVIDER: S-EPMC6880518 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature