Hyun-Seob Song
Dr. Song specializes in dynamic metabolic modeling and metabolic network analysis. His past training in frontier areas of process systems engineering has provided a sustaining force in the pursuit of problems in biotechnology and biomedical science. He has developed powerful frameworks and computational algorithms for large-scale dynamic metabolic modeling, pathway analysis of genome-scale networks, and integration of high-throughput data. These developments have led to successful modeling of complex metabolism of various microorganisms, serving as critical tools for strain modification and bioreactor optimization towards maximizing the productivity of biofulels and other high-value chemicals. In the area of biomedical research, Dr. Song worked for the discovery of novel metabolite biomarkers of toxicant exposure and organ injuries. Since joining Pacific Northwest National Laboratory in 2013, his work focuses on microbial community modeling and model integration (for hybrid simulation).
SEEK ID: https://emsl-seek.pnnl.gov/people/8
Location:
United States
ORCID: Not specified
Joined: 16th Dec 2014
Expertise: metabolic modeling, dynamic simulation, model integration, optimization, nonlinear anlaysis
Tools: Matlab
Project roles
Project administrator
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Research in this project is designed to identify the key driving forces and environmental gradients that control material and energy fluxes through microbial communities and delineate their effects on community composition, structure, and function. We will also develop a mechanistic understanding of energy and carbon partitioning among community members under steady-state and during perturbations. Researchers will investigate the interplay between community spatial organization and function with ...
Public web page: http://www.pnnl.gov/biology/programs/fsfa/research.stm
This project is focused on the functional characteristics and interactions of microbes within communities that determine the dynamics of community composition, function, and spatial organization. It uses an iterative experimental-modeling approach to elucidate principles that drive community dynamics in response to altered environmental conditions and examine the relative contributions of interspecies interactions and dispersive processes to changes in community spatial and functional heterogeneity. ...
Public web page: http://www.pnnl.gov/biology/programs/fsfa/research.stm
This project is designed to identify the general principles governing the adaptive response of individual microbes to environmental perturbations within a community context. It seeks to establish the contribution of rapid, post-transcriptional regulatory processes in the overall adaptive response of communities to environmental stress and determine how responses of individual members contribute to community metabolic homeostasis.
Public web page: http://www.pnnl.gov/biology/programs/fsfa/research.stm
Abstract (Expand)
Authors: H. S. Song, R. S. McClure, Hans Bernstein, C. C. Overall, E. A. Hill, A. S. Beliaev
Date Published: 1st Apr 2015
Publication Type: Not specified
Abstract
Authors: Hyun-Seob Song, William Cannon, Alexander Beliaev, Allan Konopka
Date Published: 1st Dec 2014
Publication Type: Not specified
