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PRODID:-//Biomedical Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
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METHOD:PUBLISH
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20200101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20210610T110000
DTEND;TZID=Asia/Seoul:20210610T120000
DTSTAMP:20260510T094243
CREATED:20210406T074242Z
LAST-MODIFIED:20210607T080017Z
UID:4364-1623322800-1623326400@www.ibs.re.kr
SUMMARY:Towards individualized predictions of human sleep and circadian timing
DESCRIPTION:This talk will be presented online. Zoom link: 709 120 4849 (pw: 1234) \nAbstract: Accurate assessment of circadian timing is critical to many applications\, including timing of drug delivery\, prediction of neurobehavioral performance\, and optimized scheduling of sleep. Current methods for measuring circadian timing are onerous and do not produce results in real time. Mathematical models have been developed for predicting circadian timing from an individual’s light exposure patterns\, which can be applied to passively collected data. These models are now well validated in the field at the group-average level\, but tend to perform poorly at the individual level. One potential solution to this problem is the estimation of model parameters at an individual level. We explored whether this approach could be applied to parameters relating to an individual’s light sensitivity. We found that these parameters can account for inter-individual and intra-individual variation in circadian timing. These findings demonstrate that model parametrization based on physiological measurements of light sensitivity could lead to more accurate individual-level circadian phase prediction.
URL:https://www.ibs.re.kr/bimag/event/2021-06-10/
LOCATION:ZOOM ID: 709 120 4849 (ibsbimag)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2021/04/AndrewPhillips_profile_crop-e1617768455279.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20210611T123000
DTEND;TZID=Asia/Seoul:20210611T133000
DTSTAMP:20260510T094243
CREATED:20210507T123416Z
LAST-MODIFIED:20210601T035036Z
UID:4545-1623414600-1623418200@www.ibs.re.kr
SUMMARY:DNA as a universal substrate for chemical kinetics
DESCRIPTION:We will discuss about “DNA as a universal substrate for chemical kinetics “\, Soloveichik et al.\, PNAS (2009) \nMolecular programming aims to systematically engineer molecular and chemical systems of autonomous function and ever-increasing complexity. A key goal is to develop embedded control circuitry within a chemical system to direct molecular events. Here we show that systems of DNA molecules can be constructed that closely approximate the dynamic behavior of arbitrary systems of coupled chemical reactions. By using strand displacement reactions as a primitive\, we construct reaction cascades with effectively unimolecular and bimolecular kinetics. Our construction allows individual reactions to be coupled in arbitrary ways such that reactants can participate in multiple reactions simultaneously\, reproducing the desired dynamical properties. Thus arbitrary systems of chemical equations can be compiled into real chemical systems. We illustrate our method on the Lotka–Volterra oscillator\, a limit-cycle oscillator\, a chaotic system\, and systems implementing feedback digital logic and algorithmic behavior.
URL:https://www.ibs.re.kr/bimag/event/2021-05-27/
LOCATION:B305 Seminar room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Journal Club
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20210618T130000
DTEND;TZID=Asia/Seoul:20210618T140000
DTSTAMP:20260510T094243
CREATED:20210608T152356Z
LAST-MODIFIED:20210612T121922Z
UID:4635-1624021200-1624024800@www.ibs.re.kr
SUMMARY:Introduction to immersed boundary method for biofluids
DESCRIPTION:Abstract: TBA
URL:https://www.ibs.re.kr/bimag/event/2021-06-18-2/
LOCATION:B305 Seminar room\, IBS\, 55 Expo-ro Yuseong-gu\, Daejeon\, 34126\, Korea\, Republic of
CATEGORIES:Biomedical Mathematics Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2021/02/SookkyungLim-e1706058905732.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20210629T130000
DTEND;TZID=Asia/Seoul:20210629T140000
DTSTAMP:20260510T094244
CREATED:20210607T235505Z
LAST-MODIFIED:20210607T235505Z
UID:4627-1624971600-1624975200@www.ibs.re.kr
SUMMARY:Deciphering circadian clock cell network morphology within the biological master clock\, the suprachiasmatic nucleus
DESCRIPTION:Abstract: The biological master clock\, the suprachiasmatic nucleus (SCN) of a mouse\, contains many (~20\,000) clock cells heterogeneous\, particularly with respect to their circadian period. Despite the inhomogeneity\, within an intact SCN\, they maintain a very high degree of circadian phase coherence\, which is generally rendered visible as system-wide propagating phase waves. The phase coherence is vital for mammals sustaining various circadian rhythmic activities. It is supposedly achieved not by one but a few different cell-to-cell coupling mechanisms: Among others\, action potential (AP)-mediated connectivity is known to be essential. However\, due to technical difficulties and limitations in experiments\, so far\, very little information is available about the (connectome) morphology of the AP-mediated SCN neural connectivity. With that limited amount of information\, here we exhaustively and systematically explore a large (~25\,000) pool of various model network morphologies to come up with the most realistic case for the SCN. All model networks within this pool reflect an actual indegree distribution as well as a physical range distribution of afferent clock cells\, which were acquired in earlier optogenetic connectome experiments. Subsequently\, our network selection scheme is based on a collection of multitude criteria\, testing the properties of SCN circadian phase waves in perturbed (or driven) as well as in their natural states: Key properties include\, 1) degree of phase synchrony (or dispersal) and direction of wave propagation\, 2) entrainability of the model oscillator networks to an external circadian forcing (mimicking the light modulation subject to the geophysical circadian rhythm)\, and 3) emergence of “phase-singularities” following a global perturbation and their decay. The selected network morphologies require several common features that 1) the indegree – outdegree relation must have a positive correlation; 2) the cells in the SCN core region have a larger total (in+out) degree than that of the shell region; 3) core to shell (or shell to core) connections should be much less than core to core (and shell to shell) connections. Taken all together\, our comprehensive test results strongly suggest that degree distribution over the whole SCN is not uniform but position-dependent and raise a question of whether this inhomogeneous degree distribution is related to the distribution of known subpopulations of SCN cells.
URL:https://www.ibs.re.kr/bimag/event/deciphering-circadian-clock-cell-network-morphology-within-the-biological-master-clock-the-suprachiasmatic-nucleus/
LOCATION:B305 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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