Two-stage flux balance analysis of metabolic networks for drug target identification
نویسندگان
چکیده
منابع مشابه
Drug Target Identification Based on Flux Balance Analysis of Metabolic Networks
Abstract Efficiently identifying drug targets with minimal side effects is a major challenge in new drug development. In this paper, we develop a method based on flux balance analysis (FBA) to identify drug targets in metabolic networks. The method, which is formulated into two linear programming models, first finds the steady flux of reactions and mass flow of metabolites in the pathologic sta...
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Flux balance analysis (FBA) is an increasingly useful approach for modeling the behavior of metabolic systems. However, standard FBA modeling of genetic knockouts cannot predict drug combination synergies observed between serial metabolic targets, even though such synergies give rise to some of the most widely used antibiotic treatments. Here we extend FBA modeling to simulate responses to chem...
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Flux balance analysis (FBA) is an in silico metabolic analysis technique that has been used to identify potential drug targets in pathogens (disease-causing organisms) by determining essential biochemical reactions in these organisms [1]. To do this, previous studies have generally focused on completely removing each reaction in turn and checking if the pathogens can still survive, without quan...
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Genome-based Flux Balance Analysis (FBA) and steady-state isotopic-labeling-based Metabolic Flux Analysis (MFA) are complimentary approaches to predicting andmeasuring the operation and regulation ofmetabolic networks. Here, genome-derivedmodels of Escherichia coli (E. coli)metabolismwere used for FBA and C-MFA analyses of aerobic and anaerobic growths of wild-type E. coli (K-12 MG1655) cells. ...
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Genome-based Flux Balance Analysis (FBA) and steady-state isotopic-labeling-based Metabolic Flux Analysis (MFA) are complimentary approaches to predicting and measuring the operation and regulation of metabolic networks. Here, genome-derived models of Escherichia coli (E. coli) metabolism were used for FBA and ¹³C-MFA analyses of aerobic and anaerobic growths of wild-type E. coli (K-12 MG1655) ...
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ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2011
ISSN: 1752-0509
DOI: 10.1186/1752-0509-5-s1-s11