Domains

systems biology, pathways, biomedical

License

Warning: No license entered

Homepage

rampdb

Repository

Unknown

Infores ID

infores:rampdb

FAIRsharing ID

Unknown

Product Summary

Contacts

NCATS RaMP-DB Team

URL: https://rampdb.nih.gov/

Products

From this Resource

ID	Name	URL	Category	Format	Description
rampdb.database	RaMP-DB Integrated Database	rampdb.nih.gov	DatabaseProduct	❔	Multi-sourced relational database int...
rampdb.api	RaMP-DB API	api	ProgrammingInterface	❔	Programmatic interface for accessing ...

Relevant Taxa

Human (NCBITaxon:9606)

Details

RaMPDB

Overview

RaMP-DB (Relational database of Metabolomic Pathways) is a comprehensive relational database that integrates metabolomic pathway information from multiple authoritative sources. The database provides unified access to pathway annotations, biochemical reactions, chemical structures, disease associations, and ontology mappings for genes, proteins, and metabolites.

Hosted by NCATS (National Center for Advancing Translational Sciences), RaMP-DB serves as a central resource for metabolomics researchers, enabling multi-omic data interpretation through integrated pathway analysis and enrichment testing.

Key Features

Multi-Source Integration

RaMP-DB integrates data from major metabolomicpathway and biochemical databases including:

KEGG (Kyoto Encyclopedia of Genes and Genomes)
Reactome: Curated pathway database
HMDB (Human Metabolome Database)
WikiPathways: Community-curated pathway resource

Comprehensive Annotations

Biochemical Pathways: Complete pathway membership for metabolites, genes, and proteins
Reactions: Enzymatic and non-enzymatic biochemical transformations
Chemical Descriptors: Structural and physicochemical properties
Ontologies: Standardized classifications and relationships
Disease Associations: Links to disease contexts and clinical relevance
Identifier Harmonization: Cross-references among different identifier systems

Analysis Capabilities

Single and Batch Queries: Individual lookups or bulk data queries
Pathway Enrichment Analysis: Statistical testing for overrepresented pathways
Chemical Enrichment: Analysis of enriched chemical classes or properties
Multi-Omic Integration: Combined analysis of metabolomic, proteomic, and genomic data

Applications

Metabolomics Research

Interpretation of untargeted metabolomics experiments
Pathway-level analysis of metabolite abundance changes
Biomarker identification and validation
Metabolic phenotyping

Systems Biology

Multi-omic data integration and interpretation
Metabolic network reconstruction
Flux balance analysis support
Systems-level understanding of metabolism

Translational Research

Disease mechanism elucidation through metabolic profiling
Drug target identification
Precision medicine biomarker development
Therapeutic intervention evaluation

Web Interface

The RaMP-DB website (https://rampdb.nih.gov/) provides:

Interactive search and browse functionality
Enrichment analysis tools
Data visualization
Bulk data download options
API access for programmatic queries

Technical Implementation

Architecture: Relational database structure enabling complex queries
API: RESTful API for programmatic access
Update Cycle: Regular updates incorporating latest source database releases
Data Format: Standardized identifiers and controlled vocabularies

Data Coverage

Genes: Human and model organism genes involved in metabolism
Proteins: Enzymes and metabolic proteins
Metabolites: Small molecule metabolites with pathway assignments
Pathways: Biochemical pathways from integrated sources
Reactions: Enzyme-catalyzed and spontaneous reactions

Integration

RaMP-DB is registered as an information resource (infores:rampdb) in the NCATS Biomedical Data Translator ecosystem, supporting federated queries across biomedical knowledge sources.

For current database version, data statistics, API documentation, and tutorials, visit the official RaMP-DB website at https://rampdb.nih.gov/

Note: This is a stub entry that was automatically created from the Translator Information Resource Registry. It requires manual curation to add complete metadata, products, and additional information.