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| Content Provider | PubMed Central |
|---|---|
| Author | Angermann, Bastian R. Frederick, Klauschen Garcia, Alex D. Thorsten, Prustel Zhang, Fengkai Germain, Ronald N. Martin, Meier-schellersheim |
| Abstract | Cellular signaling processes depend on specific spatiotemporal distributions of their molecular components. Multi-color high-resolution microscopy now permits detailed assessment of such distributions, providing the input for fine-grained computational models that explore the mechanisms governing dynamic assembly of multi-molecular complexes and their role in shaping cellular behavior. However, incorporating into such models both complex molecular reaction cascades and the spatial localization of signaling components within dynamic cellular morphologies presents substantial challenges. Here we introduce an approach that addresses these challenges by automatically generating computational representations of complex reaction networks based on simple bi-molecular interaction rules embedded into detailed, adaptive models of cellular morphology. Using examples of receptor-mediated cellular adhesion and signal-induced localized MAPK activation in yeast, we illustrate the capacity of this simulation technique to provide insights into cell biological processes. The modeling algorithms, implemented in a version of the Simmune tool set, are accessible through intuitive graphical interfaces as well as programming libraries. |
| Related Links | http://dx.doi.org/10.1038/nmeth.1861 |
| Ending Page | 289 |
| Page Count | 7 |
| Starting Page | 283 |
| File Format | |
| ISSN | 15487091 |
| e-ISSN | 15487105 |
| Journal | Nature methods |
| Issue Number | 3 |
| Volume Number | 9 |
| Language | English |
| Publisher Date | 2012-01-01 |
| Access Restriction | Open |
| Subject Keyword | Biotechnology Cell Biology Biochemistry Molecular Biology Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cell Biology Biochemistry Molecular Biology Biotechnology |
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