BioAsk helps researchers search biomedical sources, identify biological entities, discover relationships, and explore knowledge through structured results and visual discovery tools.
Use these sections to understand how BioAsk-style biomedical search and knowledge discovery works.
Start with a biomedical term, question, gene symbol, protein name, disease, drug, pathway, or clinical concept.
Good searches are specific but not too long. For example, search “TP53 apoptosis”, “EGFR lung cancer”, or “IL6 inflammation”.
BioAsk results can include source records, categorized hits, detected concepts, relationship summaries, and discovery panels.
Results are usually grouped to help you move beyond a simple list. Categories and themes help identify the most relevant research areas.
Bio-entities are biological concepts detected in text, such as genes, proteins, diseases, pathways, organisms, drugs, and biomarkers.
Entity extraction helps users quickly identify the important biological terms inside abstracts, patents, and clinical records.
Relationships show how extracted entities may be connected, such as protein interactions, gene-disease links, or drug-target associations.
Example: TP53 may be connected to apoptosis, DNA damage response, tumor suppression, and cancer-related pathways.
BioAsk can organize biomedical knowledge from literature abstracts, patent records, and clinical trial repositories.
Literature is useful for scientific evidence. Patents are useful for innovation signals. Clinical trials are useful for therapeutic context.
Visualization helps transform search results into knowledge maps, entity networks, concept clusters, and relationship views.
Use graph-style views to see how diseases, genes, proteins, pathways, drugs, and clinical terms may be connected.
Search with gene symbols, protein names, disease names, pathways, compounds, or biological processes.
Add a disease, pathway, organism, drug class, or clinical context to narrow the result set.
Use literature for evidence, patents for invention signals, and clinical trials for translational research.
After searching, check entity relationships to find links not visible from titles or abstracts alone.
A BioAsk result page can include standard records and enhanced knowledge panels. These panels help researchers understand what was found and how entities are connected.
Records from biomedical literature, patents, or clinical trials.
Genes, diseases, proteins, drugs, pathways, organisms, and biomarkers.
Possible biological links between detected entities.
Graph-style discovery view for exploring connected knowledge.
You can ask about genes, proteins, diseases, drugs, biomarkers, pathways, mechanisms, patents, clinical trials, or biomedical relationships.
Bio-entities are biological terms detected in text, such as gene names, protein names, disease names, pathways, compounds, and organisms.
Different sources provide different knowledge. Literature shows scientific evidence, patents show innovation signals, and clinical trials show translational or therapeutic development.
Relationship discovery identifies possible links between entities, such as gene-disease associations, protein interactions, drug-target relationships, or pathway involvement.
Use BioAsk results as a discovery and navigation layer. Always review the original source record before making scientific or clinical decisions.
Use BioAsk to explore literature, patents, clinical trials, bio-entities, relationships, and visual discovery maps.
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