MetChem

MetChem analyzes metabolomic profiling data by clustering metabolites based on structural similarity to identify metabolite modules and reveal dysregulated pathways associated with patient phenotypes.

Key Features:

• Structural Similarity Analysis: Clusters metabolites based on structural similarity to reveal common chemical features and relationships.
• Metabolite Module Classification: Classifies metabolites into structurally related modules that reflect functional relationships within metabolic pathways.

Scientific Applications:

• Metabolic biomarker identification: Identifies metabolic biomarkers by grouping structurally similar metabolites associated with patient phenotypes.
• Dysregulated pathway analysis: Identifies dysregulated metabolic pathways associated with various patient phenotypes.
• Translational research and therapeutic targeting: Reveals metabolite modules that may indicate potential avenues for targeted therapeutic interventions and personalized medicine.

Methodology:

Clustering metabolites based on structural similarity and classifying them into structurally related modules to reflect functional relationships in metabolomic profiling data.