Detailed Simulations of Cell Biology with Smoldyn 2.1

被引:217
作者
Andrews, Steven S. [1 ,2 ,3 ]
Addy, Nathan J. [3 ]
Brent, Roger [3 ]
Arkin, Adam P. [1 ,4 ,5 ]
机构
[1] Univ Calif Berkeley, Lawrence Berkeley Lab, Phys Biosci Div, Berkeley, CA 94720 USA
[2] Tata Inst Fundamental Res, Natl Ctr Biol Sci, Bangalore, Karnataka, India
[3] Inst Mol Sci, Berkeley, CA USA
[4] Univ Calif Berkeley, Howard Hughes Med Inst, Berkeley, CA 94720 USA
[5] Univ Calif Berkeley, Dept Bioengn, Berkeley, CA 94720 USA
关键词
EXACT STOCHASTIC SIMULATION; SACCHAROMYCES-CEREVISIAE; DIFFUSION; CHEMOTAXIS; GENERATION; GRADIENTS; PHEROMONE; CYTOPLASM; COURTSHIP; PROTEINS;
D O I
10.1371/journal.pcbi.1000705
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Most cellular processes depend on intracellular locations and random collisions of individual protein molecules. To model these processes, we developed algorithms to simulate the diffusion, membrane interactions, and reactions of individual molecules, and implemented these in the Smoldyn program. Compared to the popular MCell and ChemCell simulators, we found that Smoldyn was in many cases more accurate, more computationally efficient, and easier to use. Using Smoldyn, we modeled pheromone response system signaling among yeast cells of opposite mating type. This model showed that secreted Bar1 protease might help a cell identify the fittest mating partner by sharpening the pheromone concentration gradient. This model involved about 200,000 protein molecules, about 7000 cubic microns of volume, and about 75 minutes of simulated time; it took about 10 hours to run. Over the next several years, as faster computers become available, Smoldyn will allow researchers to model and explore systems the size of entire bacterial and smaller eukaryotic cells.
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页数:10
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