BEGIN:VCALENDAR
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PRODID:-//Biomedical Mathematics Group - ECPv6.17.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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
X-PUBLISHED-TTL:PT1H
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:20221007T103000
DTEND;TZID=Asia/Seoul:20221007T110000
DTSTAMP:20220901T010141Z
CREATED:20220825T011010Z
LAST-MODIFIED:20220901T010141Z
UID:6468-1665138600-1665140400@www.ibs.re.kr
SUMMARY:A Dynamic Paradigm for Molecular Cell Biology
DESCRIPTION:Abstract: The driving passion of molecular cell biologists is to understand the molecular mechanisms that control important aspects of cell physiology\, but this ambition is – paradoxically – limited by the very wealth of molecular details currently known about these mechanisms. Their complexity overwhelms our intuitive notions of how molecular regulatory networks might respond under normal and stressful conditions. To make progress we need a new paradigm for connecting molecular biology to cell physiology. I will outline an approach that uses precise mathematical methods to associate the qualitative features of dynamical systems\, as conveyed by ‘bifurcation diagrams’\, with ‘signal–response’ curves measured by cell biologists.
URL:https://www.ibs.re.kr/bimag/event/2022-10-01-colloquium1/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/png:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2022/08/Tyson_profile-250x250-1.png
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20221007T110000
DTEND;TZID=Asia/Seoul:20221007T120000
DTSTAMP:20220901T005901Z
CREATED:20220825T011205Z
LAST-MODIFIED:20220901T005901Z
UID:6471-1665140400-1665144000@www.ibs.re.kr
SUMMARY:Time-keeping and Decision-making in the Cell Cycle
DESCRIPTION:Abstract: Cell growth\, DNA replication\, mitosis and division are the fundamental processes by which life is passed on from one generation of eukaryotic cells to the next. The eukaryotic cell cycle is intrinsically a periodic process but not so much a ‘clock’ as a ‘copy machine’\, making new daughter cells as warranted. Cells growing under ideal conditions divide with clock-like regularity; however\, if they are challenged with DNA-damaging agents or mitotic spindle disruptors\, they will not progress to the next stage of the cycle until the damage is repaired. These ‘decisions’ (to exit and re-enter the cell cycle) are essential to maintain the integrity of the genome from generation to generation. A crucial challenge for molecular cell biologists in the 1990s was to unravel the genetic and biochemical mechanisms of cell cycle control in eukaryotes. Central to this effort were biochemical studies of the clock-like regulation of ‘mitosis promoting factor’ during synchronous mitotic cycles of fertilized frog eggs and genetic studies of the switch-like regulation of ‘cyclin-dependent kinases’ in yeast cells. The complexity of these control systems demands a dynamical approach\, as described in the first lecture. Using mathematical models of the control systems\, I will uncover some of the secrets of cell cycle ‘clocks’ and ‘switches’.
URL:https://www.ibs.re.kr/bimag/event/2022-10-07-colloquium2/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/png:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2022/08/Tyson_profile-250x250-1.png
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20221021T103000
DTEND;TZID=Asia/Seoul:20221021T110000
DTSTAMP:20220916T014503Z
CREATED:20220916T014503Z
LAST-MODIFIED:20220916T014503Z
UID:6575-1666348200-1666350000@www.ibs.re.kr
SUMMARY:A Brief Introduction to Stochastic Reaction Networks
DESCRIPTION:Abstract: TBA
URL:https://www.ibs.re.kr/bimag/event/2022-10-21-colloquium-2/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2022/08/DAnderson2018-250x250-1.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20221021T110000
DTEND;TZID=Asia/Seoul:20221021T120000
DTSTAMP:20220916T014258Z
CREATED:20220825T011824Z
LAST-MODIFIED:20220916T014258Z
UID:6478-1666350000-1666353600@www.ibs.re.kr
SUMMARY:Stationary distributions and positive recurrence of chemical reaction networks
DESCRIPTION:Abstract: \nCellular\, chemical\, and population processes are all often represented via networks that describe the interactions between the different population types (typically called the “species”). If the counts of the species are low\, then these systems are often modeled as continuous-time Markov chains on the d-dimensional integer lattice (with d being the number of species)\, with transition rates determined by stochastic mass-action kinetics. A natural (broad) mathematical question is: how do the qualitative properties of the dynamical system relate to the graph properties of the network? For example\, it is of particular interest to know which graph properties imply that the stochastically modeled reaction network is positive recurrent\, and therefore admits a stationary distribution. After a general introduction to the models of interest\, I will discuss this problem\, giving some of the known results. I will also discuss recent progress on the Chemical Recurrence Conjecture\, which has been open for decades\, which is the following: if each connected component of the network is strongly connected\, then the associated stochastic model is positive recurrent.
URL:https://www.ibs.re.kr/bimag/event/2022-10-21-colloquium/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2022/08/DAnderson2018-250x250-1.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20221026T160000
DTEND;TZID=Asia/Seoul:20221026T170000
DTSTAMP:20220925T142427Z
CREATED:20220825T012029Z
LAST-MODIFIED:20220925T142427Z
UID:6482-1666800000-1666803600@www.ibs.re.kr
SUMMARY:Mathematical modelling of the sleep-wake cycle: light\, clocks and social rhythms
DESCRIPTION:Abstract: \nWe’re all familiar with sleep\, but how can we mathematically model it? And what determines how long and when we sleep? In this talk I’ll introduce the nonsmooth coupled oscillator systems that form the basis of current models of sleep-wake regulation and discuss their dynamical behaviour. I will describe how we are using models to unravel environmental\, societal and physiological factors that determine sleep timing and outline how we are using models to inform the quantitative design of light interventions for mental health disorders and address contentious societal questions such as whether to move school start time for adolescents.
URL:https://www.ibs.re.kr/bimag/event/2022-10-26-colloquium/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2022/08/anne-skeldon.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
END:VCALENDAR