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D-fructose-[2-13C] 1,6-bisphosphate sodium salt

General Information
Catalog: BLP-013296
Molecular Formula: C5[13C]H10Na4O12P2·(H2O)x
Molecular Weight: 429.03 (anhydrous basis)
Chemical Structure
D-fructose-[2-13C] 1,6-bisphosphate sodium salt
Synonyms D-[2-13C]fructose 1,6-bisphosphate (sodium salt)
Related CAS 488-69-7 (unlabelled)

D-fructose-[2-13C] 1,6-bisphosphate sodium salt, a specialized labeled biochemical, finds diverse applications in research. Here are the key applications of D-fructose-[2-13C] 1,6-bisphosphate sodium salt:

Metabolic Pathway Studies: Delving into cellular metabolism, researchers utilize this labeled compound to investigate glycolytic pathways. Introducing D-fructose-[2-13C] 1,6-bisphosphate into metabolic cycles allows for tracking and analyzing the flow and metamorphosis of carbon atoms. This aids in unraveling the intricacies and effectiveness of metabolic processes in both normal and diseased states.

Enzyme Kinetics: In the realm of glycolytic enzyme kinetics, D-fructose-[2-13C] 1,6-bisphosphate sodium salt serves as a valuable tool. Studying key enzymes like aldolase and fructose-bisphosphate aldolase, scientists can gauge catalytic rates and enzyme affinities through reactions with this labeled substrate. Such insights are pivotal for formulating enzyme inhibitors and therapeutic interventions addressing metabolic disorders.

NMR Spectroscopy: With its carbon-13 label, D-fructose-[2-13C] 1,6-bisphosphate enables precise scrutiny via nuclear magnetic resonance (NMR) spectroscopy. Researchers leverage NMR techniques to track carbon atom dynamics and molecular interactions within the compound. This approach offers deep insights into the structural intricacies and functional properties of metabolic intermediates and reaction pathways.

Metabolic Flux Analysis: Facilitating metabolic flux analysis (MFA), this compound plays a vital role in quantifying metabolic reaction rates in biological systems. By supplying a labeled substrate, MFA unveils the distribution of metabolic fluxes across various pathways. This data is instrumental in optimizing microbial strains for increased production of biofuels, pharmaceuticals, and other valuable biochemical compounds.

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