Yun Min Song and Seokjoo Chae
Yun Min Song: Noisy delay denoises biochemical oscillators Seokjoo Chae: Reduction of spatiotemporal model and its validity condition
12 events found.
Seminar
Events
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Tea Room, IBS Daejeon, Daejeon, Korea, Republic of
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Seokhwan Moon, The Internal Model Principle for Biomolecular Control Theory
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofWe will discuss about “ The Internal Model Principle for Biomolecular Control Theory ”, Gupta, Ankit, and Mustafa Khammash., IEEE Open Journal of Control Systems 2 (2023): 63-69. Abstract The well-known Internal Model Principle (IMP) is a cornerstone of modern control theory. It stipulates the necessary conditions for asymptotic robustness of disturbance-prone dynamical systems …
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Olive Cawiding, Decomposing predictability to identify dominant causal drivers in complex ecosystems
B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic ofWe will discuss about “ Decomposing predictability to identify dominant causal drivers in complex ecosystems ”,Suzuki, Kenta, Shin-ichiro S. Matsuzaki, and Hiroshi Masuya., Proceedings of the National Academy of Sciences 119.42 (2022): e2204405119. Abstract Ecosystems are complex systems of various physical, biological, and chemical processes. Since ecosystem dynamics are composed of a mixture of …
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Dongju Lim and Olive Cawiding
Tea Room, IBS Daejeon, Daejeon, Korea, Republic ofDongju Lim: Mood Prediction for Bipolar Disorder Patient with Sleep Pattern Information Olive Cawiding: Detecting causality between weather variables and dengue cases in the Philippines
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Hyeongjun Jang, Generalized Michaelis–Menten rate law with time-varying molecular concentrations
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofWe will discuss about “Generalized Michaelis–Menten rate law with time-varying molecular concentrations”, Lim, Roktaek, et al.,bioRxiv (2022): 2022-01 Abstract The Michaelis–Menten (MM) rate law has been the dominant paradigm of modeling biochemical rate processes for over a century with applications in biochemistry, biophysics, cell biology, and chemical engineering. The MM rate law and its …
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Jonathan Rubin, Multiple timescale modeling for neural systems
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofAbstract Mathematical models of biological systems, including neurons, often feature components that evolve on very different timescales. Mathematical analysis of these multi-timescale systems can be greatly simplified by partitioning them into subsystems that evolve on different time scales. The subsystems are then analyzed semi-independently, using a technique called fast-slow analysis. I will briefly describe the …
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Dongju Lim, Exact solution of a three-stage model of stochastic gene expression including cell-cycle dynamics
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofWe will discuss about “Exact solution of a three-stage model of stochastic gene expression including cell-cycle dynamics”, Wang, Yiling, et al., bioRxiv (2023): 2023-08. Abstract The classical three-stage model of stochastic gene expression predicts the statistics of single cell mRNA and protein number fluctuations as a function of the rates of promoter switching, transcription, translation, …
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Jonathan Rubin, Qualitative inverse problems: mapping from limited data to properties of dynamics and parameter values for ODE models
KAIST E6-1 1501 Auditorium 291 Daehak-ro, Yuseong-gu, Daejeon, Korea, Republic of -
Eui Min Jung, Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofWe will discuss about “Antithetic proportional-integral feedback for reduced variance and improved control performance of stochastic reaction networks ”,Briat, Corentin, Ankit Gupta, and Mustafa Khammash., Journal of The Royal Society Interface 15.143 (2018): 20180079 Abstract The ability of a cell to regulate and adapt its internal state in response to unpredictable environmental changes is called …
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Balazs Erdos, Quantifying the dynamics of postmeal metabolism: Inference from challenge test data
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic of -
Sebastian Walcher, Reaction networks: Reduction of dimension and critical parameters
ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium) (pw: 1234)Abstract: Typically, the mathematical description of reaction networks involves a system of parameter-dependent ordinary differential equations. Generally, one is interested in the qualitative and quantitative behavior of solutions in various parameter regions. In applications, identifying the reaction parameters is a fundamental task. Reduction of dimension is desirable from a practical perspective, and even necessary when …
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Yun Min Song, A data-driven approach for timescale decomposition of biochemical reaction networks
B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic ofWe will discuss about “A data-driven approach for timescale decomposition of biochemical reaction networks”, Amir Akbari, Zachary B. Haiman, Bernhard O. Palsson, bioRxiv (2023) Abstract Understanding the dynamics of biological systems in evolving environments is a challenge due to their scale and complexity. Here, we present a computational framework for timescale decomposition of biochemical reaction …