BioAsk helps researchers discover relationships between genes, proteins, diseases, pathways, drugs, organisms, biomarkers, patents, and clinical concepts found inside biomedical text.
Relationship discovery transforms extracted entities into structured biological links, helping users understand how concepts are connected across literature, patents, and clinical information.
Links genes or genetic variants to diseases, phenotypes, syndromes, cancer types, and clinical conditions.
Useful for biomarker research, disease mechanism discovery, genetic association analysis, and translational research.
Detects possible protein interactions, binding relationships, receptor signaling, protein complexes, and regulatory effects.
Useful for pathway mapping, protein function analysis, target biology, and interaction-network exploration.
Connects drugs, compounds, inhibitors, antibodies, or biologics to molecular targets or therapeutic mechanisms.
Useful for drug discovery, compound screening, patent exploration, target validation, and clinical trial mapping.
Links genes, proteins, drugs, and diseases to pathways, mechanisms, signaling networks, or biological processes.
Useful for understanding molecular mechanisms, cellular responses, pathway regulation, and biological context.
Connects diseases or conditions to diagnostic, prognostic, predictive, and pharmacodynamic biomarkers.
Useful for assay selection, diagnostic development, patient stratification, and clinical research.
Links clinical studies to interventions, diseases, endpoints, sponsors, patient cohorts, and therapeutic targets.
Useful for translational medicine, therapeutic development, indication mapping, and trial landscape analysis.
BioAsk first identifies biomedical terms such as genes, proteins, diseases, pathways, and drugs.
The system reads surrounding text to understand how entities appear together in biomedical records.
Possible relationships are identified, such as association, regulation, interaction, targeting, or measurement.
Relationships are displayed in lists, tables, relationship panels, and knowledge-graph style views.
Enter two biomedical entities and choose a relationship type. This simple demo creates a BioAsk-style relationship statement.
TP53 → regulates → apoptosis
This relationship suggests a biological connection that can be explored through source records, entity panels, and visualization tools.
| Relationship | Example | Research Use |
|---|---|---|
| Gene → Disease | BRCA1 → associated with → breast cancer | Biomarker research, genetic association, disease mapping |
| Protein → Protein | p53 → interacts with → MDM2 | Interaction networks, pathway analysis, target biology |
| Drug → Target | EGFR inhibitor → targets → EGFR | Drug discovery, patent review, therapeutic mapping |
| Entity → Pathway | TP53 → regulates → apoptosis | Mechanism discovery and pathway interpretation |
| Disease → Biomarker | Inflammation → measured by → CRP | Diagnostics, assay selection, clinical biomarker analysis |
| Trial → Intervention | Clinical trial → evaluates → antibody therapy | Clinical development and translational research |
BioAsk helps turn search results into connected biomedical knowledge by identifying entity relationships across literature, patents, and clinical trial information.
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