🧬 Gene Target Dossier — NCBI + UniProt + PubMed + ClinicalTrials.gov in one row

Type in gene symbols. Get back one clean record per gene that joins four databases you would otherwise query one at a time:

Source	What you get
NCBI Gene	Official symbol & name, aliases, chromosome locus, RefSeq gene summary
UniProtKB (reviewed)	Protein name, length, function, subcellular localization, disease associations with OMIM IDs
PubMed	Total paper count, paper count in the last N years, and the latest papers with links
ClinicalTrials.gov	Number of active trials mentioning the gene, with NCT ID, phase, status and lead sponsor

📥 Full exports: every trial and every paper

Turn on Export all clinical trials and/or Export all publications to also get two separate download files (CSV for Excel, and JSON), one row per trial or paper across all your genes:

• trials.csv: NCT ID, title, status, phases, study type, conditions, interventions, lead sponsor and sponsor class, enrollment, start and completion dates, countries, link
• publications.csv: PMID, title, journal, date, first and last author, author count, publication types, DOI, link (newest first, recent window or all time)

Links to both files appear on the run's Output tab. Each gene record also reports how many trials and papers matched and how many were exported.

No API keys, no scripts, no tab-hopping. Export to JSON, CSV or Excel, call it from the API, or plug it into an AI agent through the Apify MCP server.

Who it's for

• Biotech BD & competitive-intelligence analysts screening target lists ("which of these 200 genes have active trials, and who's sponsoring them?")
• Researchers & grad students writing background sections or ranking candidates from a screen
• Investors sizing how crowded a target is
• AI agents that need a compact, citable gene briefing (every record includes a markdownSummary field ready to drop into a prompt)

Example output (abridged)

{
  "officialSymbol": "BRCA1",
  "officialName": "BRCA1 DNA repair associated",
  "mapLocation": "17q21.31",
  "aliases": ["BRCAI", "BRCC1", "FANCS"],
  "uniprotAccession": "P38398",
  "proteinName": "Breast cancer type 1 susceptibility protein",
  "subcellularLocations": ["Nucleus", "Chromosome"],
  "diseaseAssociations": [{"name": "Breast cancer", "acronym": "BC", "omim": "114480"}],
  "pubmedTotalCount": 23380,
  "recentPapers": [{"pmid": "…", "title": "…", "journal": "…", "url": "…"}],
  "clinicalTrialsCount": 222,
  "clinicalTrials": [{"nctId": "NCT…", "phases": ["PHASE2"], "status": "RECRUITING", "leadSponsor": "…"}],
  "markdownSummary": "## BRCA1 — BRCA1 DNA repair associated\n…"
}

Input

Field	Default	Notes
genes	—	List of symbols, e.g. BRCA1, KRAS, PCSK9
organism	human	human, mouse, rat, zebrafish, fruit fly, C. elegans, yeast
includeClinicalTrials	true	Turn off for non-human or basic-research lists
activeTrialsOnly	true	Recruiting / active / not-yet-recruiting only
pubmedYears	5	Window for the "recent papers" count
recentPapers	5	Latest papers listed per gene
maxTrials	5	Trials listed per gene
exportAllTrials	false	Save every matching trial to trials.csv / trials.json
exportAllPublications	false	Save every matching paper to publications.csv / publications.json
publicationExportScope	recent window	recent window or all time
maxExportRowsPerGene	1000	Cap on trials and on papers per gene (max 9,999)
ncbiApiKey	—	Optional free NCBI key — makes big batches ~3× faster

Pricing

Pay per result, no monthly fee.

• Gene dossier: charged once per gene that resolves to a real record. Typos and unknown symbols are returned with "found": false and are free.
• Exported trial / paper rows (only when exports are on): a small charge per row. Use Max export rows per gene and Apify's max-charge-per-run setting to control spend. A run that reaches your limit stops cleanly and keeps every row you paid for.

Reliability

• If one source is temporarily down, the dossier is still returned with the other three and the failure is listed in errors.
• Respects NCBI rate limits automatically, with retries on throttling.

Notes & attribution

Trial counts are text matches on the gene symbol, so short or ambiguous symbols (e.g. MET, CAT) can over-count — check the listed trials. Data comes from NCBI Gene & PubMed (U.S. National Library of Medicine), UniProt (UniProt Consortium, CC BY 4.0) and ClinicalTrials.gov. This Actor is not affiliated with or endorsed by those organizations.