Stefan, Melanie I. and Pepke, Shirley and Mihalas, Stefan and Bartol, Thomas and Sejnowski, Terrence and Kennedy, Mary B. (2012) Modelling Ca2+ -dependent proteins in the spine - challenges and solutions. In: Neuroinformatics 2012, 8 - 10 Sep 2012, Munich, Germany. http://resolver.caltech.edu/CaltechAUTHORS:20121108-110709029
- Published Version
Creative Commons Attribution.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20121108-110709029
Background / Purpose: Modelling post-synaptic proteins poses three technical problems: small absolute molecule numbers, large numbers of possible states, and the complex geometry of the spine, which is not a well-mixed compartment. Computational approaches are needed that solve all three of these problems. Main conclusion: Stochastic simulation methods can be used for systems with small molecule numbers, agent-based methods to represent multi-state molecules, and spatial methods to simulate events in complex geometries. We used the agent-based spatial stochastic simulator MCell to model the Ca2+-dependent activation of calmodulin and Ca2+/calmodulin-dependent kinase II (CaMKII) in the spine. Next steps: Next steps will include the extension of our model to include more interaction partners, and to represent some of the regulation events in more detail.
|Item Type:||Conference or Workshop Item (Poster)|
|Additional Information:||This poster is open access subject to the CC BY-NC Creative Commons 3.0 License.|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Melanie Stefan|
|Deposited On:||08 Nov 2012 19:33|
|Last Modified:||27 Dec 2012 02:59|
Repository Staff Only: item control page