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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Helms, Tobias Maus, Carsten Haack, Fiete Uhrmacher, Adelinde M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Division of Theoretical Systems Biology, German Cancer Research Center, Im Neuenheimer Feld 280, 69120 Heidelberg, GERMANY (Maus, Carsten) || Institute of Computer Science, University of Rostock, Albert-Einstein-Straße 22, 18059, GERMANY (Helms, Tobias; Haack, Fiete; Uhrmacher, Adelinde M.) |
| Abstract | Multi-level modeling is concerned with describing a system at different levels of organization and relating their dynamics. ML-Rules is a rule-based language developed for supporting the modeling of cell biological systems. It supports nested rule schemata, the hierarchical dynamic nesting of species, the assignment of attributes and solutions to species at each level, and a flexible definition of reaction rate kinetics. As ML-Rules allows the compact description of rather complex models, means for an efficient execution were developed, e.g., approximate and adaptive algorithms. Experimentation with ML-Rules models is further supported by domain-specific languages for instrumentation and experimentation which have been developed in the context of the modeling and simulation framework JAMES II. A signaling pathway example will illustrate modeling and simulation with ML-Rules. |
| Starting Page | 177 |
| Ending Page | 191 |
| File Size | 174234 |
| Page Count | 15 |
| File Format | |
| e-ISBN | 9781479974863 |
| DOI | 10.1109/WSC.2014.7019887 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-12-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biological system modeling Computational modeling Proteins Adaptation models Context modeling Mathematical model Biological systems |
| Content Type | Text |
| Resource Type | Article |
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