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행사정보

제목 [IBS 의생명 수학 그룹] 1월 1주차 세미나
작성자 KSIAM 등록일 2022-01-04
이메일 ksiam@ksiam.org
Ⅰ. Stem cell dynamics in the intestine and stomach
SPEAKER : Bon-Kyoung Koo (Institute of Molecular Biotechnology of the Austrian Academy of Sciences), https://www.oeaw.ac.at/imba/research/bon-kyoung-koo
 
Date & Time: January 4 @ 11:10 am - 12:00 pm KST
Place: B378 Seminar room, IBS, 55 Expo-ro Yuseong-gu, Daejeon, 34126, Republic of Korea
 
Abstract: In adult tissues, stem cells undergo clonal competition because they proliferate while the stem cell niche provides limited space. This clonal competition allows the selection of healthy stem cells over time as unfit stem cells tend to lose from the competition. It could also be a mechanism to select a supercompetitor with tumorigenic mutations, which may lead to tumorigenesis. I am going to explain general concepts of clonal competition and how a simple model can explain the behaviour of adult stem cells. I will also show how geometric constraints affect the overall dynamics of stem cell competition.
 
Organizer : Jae Kyung Kim (jaekkim@kaist.ac.kr)
 
 
 
Ⅱ. Structure-based analysis of chemical reaction networks 1/2
SPEAKER : Yuji Hirono (APCTP), https://sites.google.com/site/yujihironooo
 
Date & Time: January 5 @ 4:00 pm - 5:30 pm KST
Place: B378 Seminar room, IBS, 55 Expo-ro Yuseong-gu, Daejeon, 34126, Republic of Korea
 
Abstract: Inside living cells, chemical reactions form a large web of networks. Understanding the behavior of those complex reaction networks is an important and challenging problem. In many situations, it is hard to identify the details of the reactions, such as the reaction kinetics and parameter values. It would be good if we can clarify what we can say about the behavior of reaction systems, when we know the structure of reaction networks but reaction kinetics is unknown. In these talks, I plan to introduce two approaches in this spirit. Firstly, we will discuss the sensitivity analysis of reaction systems based on the structural information of reaction networks [1]. I will give an introduction to the method of identifying subnetworks inside which the effects of the perturbation of reaction parameters are confined. Secondly, I will introduce the reduction method that we developed recently [2]. In those two methods, an integer determined by the topology of a subnetwork, which we call an influence index, plays a crucial role.
 
References
 
[1] T. Okada, A. Mochizuki, “Law of Localization in Chemical Reaction Networks,” Phys. Rev. Lett. 117, 048101 (2016); T. Okada, A. Mochizuki, “Sensitivity and network topology in chemical reaction systems,” Phys. Rev. E 96, 022322 (2017).
 
[2] Y. Hirono, T. Okada, H. Miyazaki, Y. Hidaka, “Structural reduction of chemical reaction networks based on topology”, Phys. Rev. Research 3, 043123 (2021).
 
Organizer : Jae Kyung Kim (jaekkim@kaist.ac.kr)
 
 
 
Ⅲ. Structure-based analysis of chemical reaction networks 2/2
SPEAKER : Yuji Hirono (APCTP), https://sites.google.com/site/yujihironooo
 
Date & Time: January 6 @ 4:00 pm - 5:30 pm KST
Place: B378 Seminar room, IBS, 55 Expo-ro Yuseong-gu, Daejeon, 34126, Republic of Korea
 
Abstract: Inside living cells, chemical reactions form a large web of networks. Understanding the behavior of those complex reaction networks is an important and challenging problem. In many situations, it is hard to identify the details of the reactions, such as the reaction kinetics and parameter values. It would be good if we can clarify what we can say about the behavior of reaction systems, when we know the structure of reaction networks but reaction kinetics is unknown. In these talks, I plan to introduce two approaches in this spirit. Firstly, we will discuss the sensitivity analysis of reaction systems based on the structural information of reaction networks [1]. I will give an introduction to the method of identifying subnetworks inside which the effects of the perturbation of reaction parameters are confined. Secondly, I will introduce the reduction method that we developed recently [2]. In those two methods, an integer determined by the topology of a subnetwork, which we call an influence index, plays a crucial role.
 
[1] T. Okada, A. Mochizuki, “Law of Localization in Chemical Reaction Networks,” Phys. Rev. Lett. 117, 048101 (2016); T. Okada, A. Mochizuki, “Sensitivity and network topology in chemical reaction systems,” Phys. Rev. E 96, 022322 (2017).
 
[2] Y. Hirono, T. Okada, H. Miyazaki, Y. Hidaka, “Structural reduction of chemical reaction networks based on topology”, Phys. Rev. Research 3, 043123 (2021).
 
Organizer : Jae Kyung Kim (jaekkim@kaist.ac.kr)
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