Article (Scientific journals)
A Guide to Integrating Transcriptional Regulatory and Metabolic Networks Using PROM (Probabilistic Regulation of Metabolism)
SIMEONIDIS, Evangelos; Chandrasekaran, Sriram; Price, Nathan D.
2013In Methods in Molecular Biology, 985, p. 103-112
Peer reviewed
 

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Keywords :
Systems biology; Metabolic networks; Transcriptional regulatory networks; Constraint-based modeling; Probabilistic regulation of metabolism; Microarray data
Abstract :
[en] The integration of transcriptional regulatory and metabolic networks is a crucial step in the process of predicting metabolic behaviors that emerge from either genetic or environmental changes. Here, we present a guide to PROM (probabilistic regulation of metabolism), an automated method for the construction and simulation of integrated metabolic and transcriptional regulatory networks that enables large-scale phenotypic predictions for a wide range of model organisms.
Research center :
Luxembourg Centre for Systems Biomedicine (LCSB): Experimental Neurobiology (Balling Group)
Disciplines :
Life sciences: Multidisciplinary, general & others
Identifiers :
UNILU:UL-ARTICLE-2013-138
Author, co-author :
SIMEONIDIS, Evangelos ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Chandrasekaran, Sriram;  Institute for Systems Biology - ISB
Price, Nathan D.;  Institute for Systems Biology - ISB
External co-authors :
yes
Language :
English
Title :
A Guide to Integrating Transcriptional Regulatory and Metabolic Networks Using PROM (Probabilistic Regulation of Metabolism)
Publication date :
2013
Journal title :
Methods in Molecular Biology
ISSN :
1064-3745
Special issue title :
Systems Metabolic Engineering
Volume :
985
Pages :
103-112
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 24 June 2013

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