BEGIN:VCALENDAR
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PRODID:-//Biomedical Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
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BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20210101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20220106T160000
DTEND;TZID=Asia/Seoul:20220106T173000
DTSTAMP:20260503T072252
CREATED:20220105T220000Z
LAST-MODIFIED:20211224T001917Z
UID:5369-1641484800-1641490200@www.ibs.re.kr
SUMMARY:Structure-based analysis of chemical reaction networks 2/2
DESCRIPTION: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. \n[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). \n[2] Y. Hirono\, T. Okada\, H. Miyazaki\, Y. Hidaka\, “Structural reduction of chemical reaction networks based on topology”\, Phys. Rev. Research 3\, 043123 (2021).
URL:https://www.ibs.re.kr/bimag/event/2022-01-06/
LOCATION:B378 Seminar room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Biomedical Mathematics Seminar
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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