Biomedical Literature¶
The Biomedical Literature tool searches NCBI's biomedical literature database, a resource that provides entity-annotated access to PubMed articles. Use it to find publications related to specific genes, diseases, chemicals, mutations, or species.
What It Does¶
The Biomedical Literature tool uses NCBI's entity annotation service, which automatically annotates PubMed abstracts and full-text articles with biomedical entities:
- Genes: Gene symbols and identifiers
- Diseases: Disease names and MeSH terms
- Chemicals: Drug names, compounds, and chemical identifiers
- Mutations: Specific variants and mutation types
- Species: Organism names
These annotations enable precise, entity-aware literature searches that go beyond simple keyword matching.
Capabilities¶
- Entity-based search: Search by gene name, disease, chemical, or specific mutation with entity recognition.
- Article retrieval: Return PubMed article titles, abstracts, and publication metadata (authors, journal, year).
- Entity co-occurrence: Find articles that mention two or more entities together (e.g., a gene AND a disease).
- Annotated results: Returned abstracts include highlighted biomedical entities for quick scanning.
Example Prompts¶
| Goal | Prompt |
|---|---|
| Gene-disease literature | "Find recent publications about BRCA2 and ovarian cancer." |
| Drug-mechanism research | "What has been published about olaparib in relation to homologous recombination deficiency?" |
| Mutation-specific papers | "Search for papers mentioning the BRAF V600E mutation in melanoma." |
| Gene function review | "Find review articles about the function of PTEN in cancer." |
| Chemical-gene interaction | "Search for publications linking metformin to AMPK activation." |
| Co-occurring entities | "Find papers that mention both TP53 and MDM2." |
Understanding the Results¶
Results from the Biomedical Literature tool include:
| Field | Description |
|---|---|
| Title | Article title |
| Authors | Author list |
| Journal | Publication venue |
| Year | Publication year |
| PMID | PubMed identifier for direct access |
| Abstract | Article abstract with annotated entities |
| Entities | Genes, diseases, chemicals, mutations, and species mentioned in the article |
AIVA summarizes the most relevant findings and provides PMIDs for further reading.
Access full articles
Use the PMID to look up the full article on PubMed: pubmed.ncbi.nlm.nih.gov/PMID. Many articles are available in full text through PubMed Central.
Biomedical Literature vs. Web Search¶
| Feature | Biomedical Literature | Web Search |
|---|---|---|
| Source | PubMed-indexed literature | Entire web |
| Entity recognition | Yes (genes, diseases, chemicals, mutations) | No |
| Structured metadata | Yes (PMID, authors, journal) | Limited |
| Content type | Peer-reviewed biomedical literature | Any web content |
| Best for | Finding published evidence for variant interpretation | Finding guidelines, news, non-journal sources |
Use the Biomedical Literature tool when you need peer-reviewed evidence. Use Web Search when you need broader web content.
Common Use Cases¶
Supporting Variant Classification¶
When classifying a variant using ACMG criteria, the Biomedical Literature tool helps find published functional studies and case reports:
"Search for publications about the clinical significance of BRCA1 c.5266dupC."
Literature Review for a Gene¶
Before interpreting variants in an unfamiliar gene, review the existing literature:
"Find the most cited papers about the role of MLH1 in Lynch syndrome."
Drug-Gene Evidence¶
When exploring pharmacogenomic implications, find published evidence for drug-gene interactions:
"What has been published about CYP2D6 and tamoxifen metabolism?"
Combining with Other Tools¶
The Biomedical Literature tool pairs naturally with other AIVA tools:
- Variant Annotation + Biomedical Literature: Look up a variant's ClinVar classification, then find supporting literature.
- Knowledge Graph + Biomedical Literature: Explore a gene's interaction network, then find publications for specific interactions.
- Genomic Data Query + Biomedical Literature: Identify genes with the most variants in your sample, then search for literature on each.
- Clinical Trials + Biomedical Literature: Find published results from completed clinical trials.
See Example Workflows for multi-tool analysis patterns.