What EMET can do

EMET covers a broad range of biomedical research tasks. The areas below represent the most commonly used capabilities, though this is not exhaustive.

Target biology and gene characterization

Ask EMET about any gene or protein — its expression across tissues, protein-protein interactions, known functional domains, subcellular localization, disease associations, and relevant literature. EMET draws on sources including GTEx, UniProt, STRING, the Human Protein Atlas, Open Targets, and PubMed, and combines them into a coherent picture.

Drug discovery and target validation

EMET can work through target validation systematically — retrieving genetic evidence, druggability data, existing bioactivities, safety liabilities, and clinical precedent. It provides an overall assessment rather than returning raw database dumps. For lead optimization, EMET can retrieve structure-activity relationship data, ADMET predictions, and comparable compounds from ChEMBL and related sources.

Cancer genomics

Query mutation frequencies, copy number alterations, and survival associations across TCGA and other cohorts via cBioPortal and UCSC Xena. EMET can profile a gene across cancer types, retrieve somatic mutation landscapes, and assess whether genomic features support clinical hypothesis generation.

Clinical variant interpretation

EMET retrieves ClinVar pathogenicity classifications, gnomAD population frequencies, and pharmacogenomic annotations from PharmGKB and CPIC, and can interpret a variant's significance in the context of a disease or drug response question.

Literature and evidence synthesis

Search PubMed and Europe PMC with full abstract retrieval. EMET does not summarize its training data — it performs live searches, retrieves actual papers, and synthesizes findings with inline citations to specific PMIDs. It can also perform citation impact analysis and surface preprints from bioRxiv and medRxiv.

Pathway and network analysis

Map a gene or gene list into Reactome pathways, retrieve STRING protein interaction networks, and analyze signaling cascades via SIGNOR. EMET can run pathway enrichment analysis on a differentially expressed gene list and visualize interaction networks interactively.

Differential expression and omics analysis

EMET can fetch public RNA-seq datasets from GEO and run differential expression analysis using DESeq2, returning volcano plots, PCA plots, and ranked gene lists. It can also query single-cell datasets via CellxGene and work with TCGA expression data across tumor types.

Drug safety and pharmacovigilance

Retrieve FDA adverse event signals from FAERS via OpenFDA, check drug-drug interaction severity via DDInter, and review FDA-approved drug labels via DailyMed. EMET can assess a compound's safety profile in the context of a target or indication.

Protein structure

Fetch AlphaFold predicted structures or PDB experimental structures and visualize them directly in the conversation, with mutation sites highlighted and pLDDT confidence scores displayed. EMET can also retrieve domain architecture from InterPro and run multiple sequence alignments.

Scientific reporting and figures

EMET can produce structured HTML reports, interactive dashboards, data tables, and publication-style figures — including volcano plots, heatmaps, survival curves, Manhattan plots, network diagrams, and molecule structure visualizations. It can also generate PowerPoint slide decks for presentations.

Data sources

100+ data sources — Genomics, proteomics, drug discovery, clinical, literature, and pathway data sources — all queried live, not from cached training data.

Citations

Every claim is cited — EMET links every specific finding to its source — PMID, database record, or direct URL — so you can verify and trace the evidence.

Output

Reports, figures, and code — Deliver results as prose, interactive dashboards, visualizations, or exportable reports — formatted for the audience you have in mind.