Bioinformatics Analysis

Available bioinformatics analysis methods for metabolic flux studies

Creative Proteomics utilizes multiple technologies to mine and analyze bioinformatics data obtained from metabolic flux

Isotopic Distribution of Metabolites
We conduct stable-isotope tracing experiments to track the flow of stable isotopes in metabolites, and therefore determine the isotopic distribution of metabolites
Metabolic Pathways Study
Creative Proteomics investigates the metabolic pathways to describe the chemical changes catalyzed by the component enzymes of the route, and the various intracellular controls that govern the rate at which the pathway functions
Metabolite Identification, Profiling & Characterization
Profiling and identification of metabolites have become a routine exercise during lead optimization and subsequent development processes, which are applied to understand the drug metabolism of your compound by identifying which metabolites are formed during in vitro or in vivo studies
Flux Ratio Analysis
We perform flux ratio analysis to rapidly estimate the local relative fluxes from ¹³C labeling experiments without the need for a global isotopic equilibrium
Principal Component Analysis (PCA)
As a new methodology for the analysis of metabolism, PCA is employed to identify which parts of the metabolism retain the main variability in flux data and to relate them to the samples
Hierarchical Cluster Analysis
Our expert team performs hierarchical clustering heat map analysis of compounds with differing flux ratios to reveal their metabolic pathways and their enzymatic activity changes by analyzing changes in key metabolites of their metabolic pathways in the experimental and control groups
KEGG Enrichment Analysis
KEGG integrates current knowledge about molecular interaction networks, such as pathways and complexes, as well as gene and protein information about biochemical compounds and reactions. Creative Proteomics applies KEGG dnrichment analysis to predict protein interaction networks for various cellular processes
Bi-plot Analysis
At Creative Proteomics, Bi-plot analysis of metabolic flux data provides an overall picture of the overall metabolic differences between groups of samples and the magnitude of variability between samples within groups, allowing visualization of the relationship between samples and metabolites

High-resolution methods for throughput bioinformatics analysis

The high throughput methodologies applied in metabolic flux analysis generate a large amount of data related to metabolic analysis, which requires multiple bioinformatics methods for processing, such as flux ratio analysis, flux balance analysis, Bi-plot analysis, and pathway enrichment analysis to ensure comprehensive and accurate metabolomic analysis results.

Creative Proteomics is specializing in metabolic flux analysis.

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Available bioinformatics analysis methods for metabolic flux studies

Isotopic Distribution of Metabolites

Metabolic Pathways Study

Metabolite Identification, Profiling & Characterization

Flux Ratio Analysis

Principal Component Analysis (PCA)

Hierarchical Cluster Analysis

KEGG Enrichment Analysis

Bi-plot Analysis