| 학회 |
한국화학공학회 |
| 학술대회 |
2004년 가을 (10/29 ~ 10/30, 호서대학교(아산캠퍼스)) |
| 권호 |
10권 2호, p.1237 |
| 발표분야 |
공정시스템 |
| 제목 |
Reduction of signal transduction networks: a system-level understanding of the EGF Signaling pathways |
| 초록 |
The fundamental goal of systems biology is to gain greater insight into cell functions and dynamic interactions between pathways, which can describe inter- and extra-cellular dynamics. As cellular networks possess numerous components such as genes, proteins, and other molecules, a major problem in this area is the complexity rising from the huge number of kinetic parameters and intricate interactions among them. Moreover, typical kinetic models span a wide range of orders of magnitude, which result in the stiffness and multiple time-scales of kinetic modeling problems. In this study, model simplification methods such as order reduction are considered to relieve the stiffness and to obtain the accurate information on the dominating dynamics. |
| 저자 |
윤좌문1, 박선원1, 이동엽2, 오영균1, 이상엽2
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| 소속 |
1한국과학기술원 생명화학공학과 / 초미세화학공정 센터, 2한국과학기술원 생명화학공학과 / Bioinformatics Research Center |
| 키워드 |
Dynamic simulation; Kinetic parameter; Model reduction; Model Identification; Signal transductions; Systems biology
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| E-Mail |
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| 원문파일 |
초록 보기 |
