activity
20042023
most citedStatistical properties of sampled networks

455 citations · 1.4k across the 20 of their papers we have counts for

collaborators

20 papers

physics.bio-ph2023★ 4 cited

Microbiome-derived bile acids contribute to elevated antigenic response and bone erosion in rheumatoid arthritis

Xiuli Su, Xiaona Li, Yanqin Bian +15

Rheumatoid arthritis (RA) is a chronic, disabling and incurable autoimmune disease. It has been widely recognized that gut microbial dysbiosis is an important contributor to the pa…

q-bio.SC2018★ 16 cited

Waveforms of molecular oscillations reveal circadian timekeeping mechanisms

Hang-Hyun Jo, Yeon Jeong Kim, Jae Kyoung Kim +3

Circadian clocks play a pivotal role in orchestrating numerous physiological and developmental events. Waveform shapes of the oscillations of protein abundances can be informative…

q-bio.OT2018★ 17 cited

Nutritionally recommended food for semi- to strict vegetarian diets based on large-scale nutrient composition data

Seunghyeon Kim, Michael F. Fenech, Pan-Jun Kim

Diet design for vegetarian health is challenging due to the limited food repertoire of vegetarians. This challenge can be partially overcome by quantitative, data-driven approaches…

q-bio.MN2017★ 282 cited

Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis

Jaeyun Sung, Seunghyeon Kim, Josephine Jill T. Cabatbat +5

A system-level framework of complex microbe-microbe and host-microbe chemical cross-talk would help elucidate the role of our gut microbiota in health and disease. Here we report a…

q-bio.MN2016★ 35 cited

Kernel Architecture of the Genetic Circuitry of the Arabidopsis Circadian System

Mathias Foo, David E. Somers, Pan-Jun Kim

A wide range of organisms features molecular machines, circadian clocks, which generate endogenous oscillations with ~24 h periodicity and thereby synchronize biological processes…

physics.soc-ph2014★ 30 cited

Uncovering the nutritional landscape of food

Seunghyeon Kim, Jaeyun Sung, Mathias Foo +2

Recent progresses in data-driven analysis methods, including network-based approaches, are revolutionizing many classical disciplines. These techniques can also be applied to food…