Earticle

초록

영어

The stochastic modeling of biological systems is gaining more and more attention when stochastic fluctuations need to be described. On the other hand, the biological systems under investigation become much more complex than before. Traditional modeling methods like stochastic Petri nets do not easily scale and thus become difficult to tackle this situation. This paper aims to present a colored stochastic Petri net approach for systems biology to modeling complex biological systems. Specifically, this paper describes a type of biochemically-interpreted colored stochastic Petri nets and their extensions and analysis techniques for systems biology and illustrates their applications using Ca2+ release sites that consist of a set of coupled Ca2+ channels.

목차

Abstract
 1. Introduction
 2. Stochastic Petri nets
 3. Colored stochastic Petri nets
 4. Modeling extensions and analysis techniques in SPNC
  4.1. Modeling extensions
  4.2. Analysis techniques
 5. Case study
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Fei Liu [ Control and simulation center, Harbin Institute of Technology ]
• Ming Yang [ Control and simulation center, Harbin Institute of Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605