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 |
| Externally published | Yes |
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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
- Hardware and Architecture
- Theoretical Computer Science
- Computational Theory and Mathematics
Cite this
Synthetic biology. / Kiga, Daisuke; Yamamura, Masayuki.
In: New Generation Computing, Vol. 26, No. 4, 08.2008, p. 347-364.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Synthetic biology
AU - Kiga, Daisuke
AU - Yamamura, Masayuki
PY - 2008/8
Y1 - 2008/8
N2 - 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.
AB - 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.
KW - Autonomous system
KW - Bifurcation analysis
KW - DNA synthesis
KW - Genetic code
KW - Gillespie's method
KW - Michaelis-Menten formula
KW - Non-linear dynamics
KW - Phase plain analysis
KW - Stochastic physics
KW - Synthetic Biology
UR - http://www.scopus.com/inward/record.url?scp=51649096945&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51649096945&partnerID=8YFLogxK
U2 - 10.1007/s00354-008-0050-z
DO - 10.1007/s00354-008-0050-z
M3 - Article
AN - SCOPUS:51649096945
VL - 26
SP - 347
EP - 364
JO - New Generation Computing
JF - New Generation Computing
SN - 0288-3635
IS - 4
ER -