Hyun Kim
Tea Room, IBS Daejeon, Daejeon, Korea, Republic ofTBD
TBD
Abbas Abbasli: Accurate prediction of in-vivo drug interaction mediated by cytochrome P450 inhibition Hyeongjun Jang: Comparison of the inhibition constant approximation methods
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, …
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
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 …
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 …
Yun Min Song: Noisy delay denoises biochemical oscillators Seokjoo Chae: Reduction of spatiotemporal model and its validity condition
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 …
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 …
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
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 …
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 …