Projects per year
- Computational systems biology
- Human microbiome and mucosal immune systems in health and disease
- Biological networks and phenotype prediction
- Quantitative modeling and big data analysis
Dr. Pan-Jun Kim is developing a quantitative framework for unraveling collective dynamics of biological systems, aided by mathematical modeling and statistical data analysis. Recent technologies have generated enormous amount of biological data at various scales. Computational methodologies developed in mathematics, physics, computer science, and engineering enable analyses of such data, allowing scientists to gain insights that will bring leaps in fundamental understanding of complex biological processes. Specifically, Dr. Kim’s interest covers the predictive computational modeling of (i) global microbial ecosystems inside human body and (ii) various metabolic, regulatory, and signaling networks inside/between cells, and (iii) cross-disciplinary big data analysis. More detailed information can be found from Dr. Kim’s group homepage: http://panjunkim.com. Dr. Kim obtained his Ph.D. degree in Physics from KAIST and was a postdoctoral research associate (IGB Fellow) at the University of Illinois at Urbana-Champaign, a JRG Leader at the Asia Pacific Center for Theoretical Physics, and joined Hong Kong Baptist University as an Assistant Professor in the Department of Biology in 2018.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Generalized Michaelis–Menten rate law with time-varying molecular concentrationsLim, R., Martin, T. L. P., Chae, J., Kim, W., Ghim, C-M. & Kim, P-J., 7 Jan 2022, (Submitted) Cold Spring Harbor Laboratory Press, p. 1-22, 22 p. (bioRxiv).
Research output: Working paper › Preprint
Backward simulation for inferring hidden biomolecular kinetic profilesChae, J., Lim, R., Ghim, C. M. & Kim, P. J., 17 Dec 2021, In: STAR Protocols. 2, 4, 12 p., 100958.
Research output: Contribution to journal › Article › peer-reviewOpen Access
Cost-effective circadian mechanism: rhythmic degradation of circadian proteins spontaneously emerges without rhythmic post-translational regulationLim, R., Chae, J., Somers, D. E., Ghim, C. M. & Kim, P. J., 23 Jul 2021, In: iScience. 24, 7, 30 p., 102726.
Research output: Contribution to journal › Article › peer-reviewOpen Access3 Citations (Scopus)
Large-scale metabolic interaction network of the mouse and human gut microbiotaLim, R., Cabatbat, J. J. T., Martin, T. L. P., Kim, H., Kim, S., Sung, J., Ghim, C. M. & Kim, P. J., 1 Dec 2020, In: Scientific data. 7, 1, 8 p., 204.
Research output: Contribution to journal › Article › peer-reviewOpen Access9 Citations (Scopus)
Nutritionally recommended food for semi- to strict vegetarian diets based on large-scale nutrient composition dataKim, S., Fenech, M. F. & KIM, P. J., 1 Dec 2018, In: Scientific Reports. 8, 1, 4344.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile14 Citations (Scopus)9 Downloads (Pure)