Abstract
Recent progress in various related fields has engendered a new style of biology, named Synthetic Biology, which utilizes concepts from modern engineering to emulate specific cellular functions and their functional combinations. This paper presents an introduction to Synthetic Biology from various viewpoints. First, we survey the concepts and tools from Systems Science along with several issues on social impact. Then, we discuss the recent progress in Molecular Biology that supports Synthetic Biology.
| Original language | English |
|---|---|
| Pages (from-to) | 347-364 |
| Number of pages | 18 |
| Journal | New Generation Computing |
| Volume | 26 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2008 Aug 1 |
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Keywords
- Autonomous system
- Bifurcation analysis
- DNA synthesis
- Genetic code
- Gillespie's method
- Michaelis-Menten formula
- Non-linear dynamics
- Phase plain analysis
- Stochastic physics
- Synthetic Biology
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Hardware and Architecture
- Computer Networks and Communications
Cite this
Kiga, D., & Yamamura, M. (2008). Synthetic biology. New Generation Computing, 26(4), 347-364. https://doi.org/10.1007/s00354-008-0050-z