An AI-native gene search platform — “Google for genes.”
GeneE combines authoritative gene data from public databases with AI-generated plain-language summaries, semantic search, and a modern interface. The goal is to make gene information accessible to everyone — from students encountering genetics for the first time to researchers looking for a quick, cited overview.
The platform currently covers approximately 20,000 human protein-coding genes. Each gene page aggregates identifiers, function annotations, disease associations, drug targets (with clinical phase and FDA status), tissue expression, related genes, pathogenic ClinVar variants, gnomAD constraint metrics, an embedded interactive 3D protein structure (experimental PDB when available, AlphaFold prediction otherwise), pre-computed functional and clinical badges, and an AI-written summary backed by PubMed citations.
Every AI-generated summary undergoes automated validation before it is published. The validation pipeline checks that all cited PMIDs exist, cross-references disease and chromosome claims against structured data, and flags any unsupported statements. Summaries that do not pass validation are not displayed — users see the structured data instead.
Source relevance scores are computed from a weighted blend of semantic similarity, journal impact, publication recency, and whether the AI cited the source. Preprints are clearly flagged so users can weigh evidence appropriately.
Beyond searching for a specific gene, you can browse the full catalogue along 12 ranking dimensions — most researched, FDA-approved drug targets, most pathogenic variants, most constrained, and more — on the Gene Rankings page. Every sort-and-filter combination is a shareable URL.
A clickable chromosome ideogram on the home page and above the rankings filters lets you narrow the catalogue to a single chromosome in one click.
GeneE aggregates data from seven public databases. See the Data Sources & Attribution page for full details and license information.