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Hierarchical modeling for synthetic biology.
Deepak Chandran1, Herbert M Sauro
1Department of Bioengineering, University of Washington, Box 355061, William H. Foege Building, Room N210E, Seattle, WA 98195-5061, USA. deepakc@uw.edu
ACS Synthetic Biology
|May 9, 2013
Summary
Synthetic biology needs a way to link mathematical models and experimental data. TinkerCell
Area of Science:
- Synthetic biology
- Computational biology
- Bioinformatics
Background:
- Synthetic biology integrates mathematical modeling and experimental work.
- Current methods lack a unified way to connect conceptual biological system descriptions with mathematical models and experimental data, particularly DNA sequence annotations.
- Different mathematical models of the same biological system can lead to inconsistent mapping of sequence annotations.
Purpose of the Study:
- To develop a software framework for representing conceptual biological system descriptions independent of specific mathematical models.
- To enable automatic mapping of conceptual diagrams to multiple mathematical models.
- To facilitate the integration of modeling and experimental data in synthetic biology.
Main Methods:
- Utilized hierarchical modeling within the TinkerCell software.
- Developed a "conceptual diagram" representation for biological systems.
- Implemented automatic mapping of conceptual diagrams to various underlying mathematical models.
Main Results:
- TinkerCell provides a software solution for creating model-agnostic conceptual diagrams of biological systems.
- These diagrams can incorporate quantitative values relevant for both modeling and experimental work.
- The approach allows for automatic mapping to different mathematical models.
Conclusions:
- The developed conceptual diagram approach in TinkerCell addresses the need for a unified representation in synthetic biology.
- This facilitates the connection between conceptual understanding, mathematical modeling, and experimental data.
- This work is a step towards practical computer-aided design (CAD) systems for synthetic biology.
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