In this talk, we introduce stochastic modeling for chemical reaction networks. If the abundances of the network system are small, then the randomness inherent in the molecular interactions is important to the system dynamics, and the abundances are modeled stochastically as a jump by jump fashion continuous-time Markov chain. We will discuss details about the associated Markov chains such as chemical master equations, stochastic simulation algorithms, and the Kurtz’s representation. Then we will also take a look at what types of research problems people are interested in. 

 

Webex Information:

 

Link: https://nationaltaiwanuniversity-ksz.my.webex.com/nationaltaiwanuniversity-ksz.my/j.php?MTID=md0eaf477e6115a7827940a5de8b08cb2