Name
Title | ||
|---|---|---|
A novel Monte Carlo simulation for molecular interactions and diffusion in postsynaptic spines |
Abstract | ||
|---|---|---|
We developed a new Monte Carlo simulator that can incorporate anomalous diffusion and chemical kinetics of intracellular signaling molecules in the dendritic spine. The simulator is based on two well-established Monte Carlo approaches, namely the Kopelman algorithm and the Kinetic Monte Carlo algorithm. This paper describes the basic features of the simulator and compares its performance for the general case of elementary chemical reactions. We then explore anomalous diffusion of calmodulin (CaM) in the dendrite. The simulations suggest that the CaM-binding protein RC3 plays a significant role in determining the spatio-temporal dynamics of CaM-target interaction. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.neucom.2004.10.049 | Neurocomputing |
Keywords | Field | DocType |
monte carlo simulation,molecular interaction,dendritic spine,new monte carlo simulator,anomalous diffusion,cam-binding protein rc3,kinetic monte carlo algorithm,kopelman algorithm,elementary chemical reaction,postsynaptic spine,range of action,cam-target interaction,basic feature,well-established monte carlo approach,chemical kinetics,calmodulin,novel monte carlo simulation,monte carlo,kinetic monte carlo,binding protein,chemical reaction | Dendritic spine,Molecular interactions,Postsynaptic potential,Artificial intelligence,Anomalous diffusion,Statistical physics,Monte Carlo method,Pattern recognition,Simulation,Kinetic Monte Carlo,Dynamic Monte Carlo method,Monte Carlo molecular modeling,Mathematics | Journal |
Volume | ISSN | Citations |
65-66, | Neurocomputing | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y Kubota | 1 | 36 | 8.75 |
| Tara R. Gaertner | 2 | 0 | 0.34 |
| John A. Putkey | 3 | 4 | 1.14 |
| M Neal Waxham | 4 | 23 | 3.83 |