| 학회 |
한국화학공학회 |
| 학술대회 |
2005년 가을 (10/21 ~ 10/22, 인하대학교) |
| 권호 |
11권 2호, p.1844 |
| 발표분야 |
공정시스템 |
| 제목 |
Modeling and simulation of biological systems using stochastic algorithms |
| 초록 |
Mathematical modeling and simulation methods are widely used to analyze the dynamics of biological systems. The square root law says that randomness or fluctuations is inversely proportional to square root of the number of particles regarded as an index of the system size. Biochemical species often occur in low copy numbers, participating in important processes such as cellular metabolism, regulation and signaling. The increase in randomness with reduction in number of these biochemical molecules is evident. Due to the occurrence of stochastic fluctuations of biochemical species in living systems, it is difficult to understand the biological systems. To analyze the stochastic dynamics of biological systems, user-friendly and effective tools are needed. Therefore, we have developed a java-based simulation environment for multi-time scale systems of which analytical solutions are not available without assumption or compromises. This work was supported by the Korean Systems Biology Research Program of the Ministry of Science and Technology and by the BK21 project. |
| 저자 |
김상훈1, 윤좌문1, 오영균1, 이상엽2, 박선원1
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| 소속 |
1한국과학기술원 생명화학공학과 및 초미세화학공정센터, 2한국과학기술원 생명화학공학과 및 초미세화학공정센터 / 한국과학기술원 생물정보연구센터 |
| 키워드 |
Modeling and Simulation; Stochastic algorithms
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| E-Mail |
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| 원문파일 |
초록 보기 |
