Explore cardiac biology through our comprehensive knowledge graph connecting 2M+ biomedical entities including genes, diseases, drugs, and pathways.
Our knowledge graph integrates data from hundreds of sources to create a unified view of cardiac biology, enabling discoveries that would be impossible with siloed data.
Navigate the complex relationships between genes, proteins, diseases, and drugs through our intuitive visual interface. Discover hidden connections, explore pathways, and uncover novel therapeutic targets with real-time graph traversal.
Explore curated associations between cardiac genes and cardiovascular diseases, with evidence scores and literature references.
Understand drug mechanisms through comprehensive target profiles including binding affinities, pathway effects, and cardiac safety data.
Tissue-specific profiles
PubMed integration
KEGG & Reactome
ClinVar & gnomAD
We integrate and harmonize data from the world's leading biomedical databases, creating a comprehensive cardiac-focused knowledge base.
Comprehensive protein function annotations and sequence data for cardiac proteins
Genetic variants associated with inherited cardiomyopathies and arrhythmias
Drug-target interactions with cardiac safety annotations and binding data
Tissue-specific gene expression profiles across cardiac chambers and cell types
Identify novel drug targets by exploring disease-gene associations and pathway connections in cardiac tissue.
Uncover molecular mechanisms of cardiac diseases through pathway analysis and protein interaction networks.
Discover new indications for existing drugs by analyzing shared targets and pathway overlaps.
Evaluate cardiac safety risks by exploring drug-target interactions with cardiac ion channels and signaling pathways.
Accelerate literature searches with AI-powered semantic search across millions of cardiac publications.
Integrate our knowledge graph into your research workflows with our comprehensive REST and GraphQL APIs.
Simple RESTful endpoints for entity lookup, relationship queries, and batch operations with JSON responses.
Flexible graph queries for complex traversals. Request exactly the data you need with nested relationships.
Download subgraphs in standard formats including RDF, Neo4j, and CSV for local analysis.
Secure API keys with rate limiting and usage tracking. Enterprise SSO available.
Native Python client with pandas integration for seamless data science workflows.
Comprehensive API docs with interactive examples and Jupyter notebooks.
Discover new connections in cardiac research. Access our knowledge graph for free with a research account.
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