Yun Min Song, The singularity response reveals entrainment properties of the plant circadian clock

B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic of

We will discuss about “The singularity response reveals entrainment properties of the plant circadian clock”, Masuda, Kosaku, et al., Nature Communications 12.1 (2021): 864. Abstract Circadian clocks allow organisms to synchronize their physiological processes to diurnal variations. A phase response curve allows researchers to understand clock entrainment by revealing how signals adjust clock genes differently

Yun Min Song and Seokjoo Chae

Tea Room, IBS Daejeon, Daejeon, Korea, Republic of

Yun Min Song: Noisy delay denoises biochemical oscillators Seokjoo Chae: Reduction of spatiotemporal model and its validity condition

Seokhwan Moon, The Internal Model Principle for Biomolecular Control Theory

B232 Seminar Room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Daejeon, Korea, Republic of

We 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

2023 – The 4th Korean Biological Rhythm Society Symposium

IBS Science Culture Center Expo-ro 55, Daejeon, Korea, Republic of

2023 제4회 한국분자세포생물학회 생체리듬준분과 심포지엄을 아래와 같이 진행합니다. 일시: 2023년 8월 10일(목) - 8월 11일(금) 장소: 대전 IBS 과학문화센터 학회 홈페이지 링크는 하단에 있습니다. We are pleased to announce the 4th Korean Biological Rhythm Society Symposium. Date: August 10th (Thursday) - August 11th (Friday), 2023 Location: Daejeon IBS Science Culture Center Conference Website Link (below)

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 of

We 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

Dongju Lim and Olive Cawiding

Tea Room, IBS Daejeon, Daejeon, Korea, Republic of

Dongju Lim: Mood Prediction for Bipolar Disorder Patient with Sleep Pattern Information Olive Cawiding: Detecting causality between weather variables and dengue cases in the Philippines    

ICIAM 2023 Satellite Workshop: Stochastic Modeling and Data Analysis for Biological Systems

IBS Science Culture Center Expo-ro 55, Daejeon, Korea, Republic of

ICIAM 2023 Satellite Workshop: Stochastic Modeling and Data Analysis for Biological Systems We are excited to announce the upcoming ICIAM 2023 Satellite Workshop on Stochastic Modeling and Data Analysis for Biological Systems. This three-day workshop will take place from August 16th to 18th, 2023, at the Institute for Basic Science Headquarters in Daejeon, Korea. The

Hyeongjun Jang, Generalized Michaelis–Menten rate law with time-varying molecular concentrations

B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic of

We 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

Jonathan Rubin, Multiple timescale modeling for neural systems

B378 Seminar room, IBS 55 Expo-ro Yuseong-gu, Daejeon, Korea, Republic of

Abstract 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

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 of

We 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,

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 of

We 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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