• Seokjoo Chae, The energy cost and optimal design of networks for biological discrimination

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

    We will discuss about “The energy cost and optimal design of networks for biological discrimination”, Yu, Qiwei, Anatoly B. Kolomeisky, and Oleg A. Igoshin., Journal of the Royal Society Interface 19.188 (2022): 20210883. Abstract Many biological processes discriminate between correct and incorrect substrates through the kinetic proofreading mechanism that enables lower error at the cost of

  • Hyun Kim

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

    TBD

  • Abbas Abbasli and Hyeongjun Jang

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

    Abbas Abbasli: Accurate prediction of in-vivo drug interaction mediated by cytochrome P450 inhibition Hyeongjun Jang: Comparison of the inhibition constant approximation methods

  • Dae Wook kim, “Wearable data science for personalized digital medicine”

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

    We will discuss about “Wearable data science for personalized digital medicine” Abstract Millions of people currently use wearables such as the Apple Watch to monitor their physical activity, heart rate, and other physiological signals, generating an unprecedented amount of wearable data. This presents an opportunity for digital medicine to advance precision medicine. However, the noisy

  • Hyukpyo Hong and Seokmin Ha

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

    Hyukpyo Hong: Advancing Infectious Disease Modeling: Estimating Reproduction Number with Realistic Latent and Infectious Periods Seokmin Ha: Systematic inference-driven experiments reveal a fundamental mechanism governing clock protein interactions in plants

  • Hyun Kim, scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching

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

    We will discuss about “scPrisma infers, filters and enhances topological signals in single-cell data using spectral template matching”, Karin, Jonathan, Yonathan Bornfeld, and Mor Nitzan., Nature Biotechnology (2023): 1-10. Abstract Single-cell RNA sequencing has been instrumental in uncovering cellular spatiotemporal context. This task is challenging as cells simultaneously encode multiple, potentially cross-interfering, biological signals. Here we

  • 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

  • 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    

  • 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