MACdb

MACdb curates experimentally reported metabolite–cancer associations to organize metabolomics evidence and support analysis of metabolic biomarkers and pathways in human cancers.

Key Features:

• Data integration: Integrates data from 1,127 studies reported across 462 publications, curated from an initial pool of 5,153 research papers.
• Comprehensive coverage: Contains 40,710 cancer–metabolite associations spanning 267 traits across 17 categories of cancers.
• Knowledge graph construction: Constructs a knowledge graph representing relationships among cancers, traits, and metabolites.
• NameToCid mapping: Provides a NameToCid function to map metabolite names to PubChem Compound IDs (CIDs).
• Enrichment analysis tool: Includes an Enrichment tool for testing enrichment of metabolites across cancer types and traits.

Scientific Applications:

• Cancer diagnosis: Supports identification of metabolites as candidate biomarkers for early detection and diagnostic studies.
• Treatment strategies: Facilitates identification of metabolic alterations relevant to development of targeted therapies and treatment stratification.
• Research and development: Enables hypothesis generation and cross-study comparison in cancer metabolomics research.

Methodology:

Manual literature curation extracted associations from 5,153 screened papers to yield 1,127 studies across 462 publications, and the resource incorporates knowledge graph construction, NameToCid mapping, and enrichment analysis functionality.