PrimateAI-3D
Missense variant pathogenicity model trained on primate population variation and 3D protein structure.
| Category | Genomics & DNA models |
|---|---|
| GitHub | Illumina/PrimateAI-3D |
| First public | 2023-05-02 (source) |
| Paper | https://doi.org/10.1126/science.abn8197 |
| License | PolyForm-Strict-1.0 |
| Pricing | Open source (non-commercial) |
| Tags | #variant-effect#pathogenicity#illumina |
| Last checked | 2026-10-16 |
Specs
| Input length / context | — |
|---|---|
| Resolution | Per protein-altering variant |
| Species | Human (trained with 233 primate species variation) |
| Tasks | Variant pathogenicity |
| GitHub stars | 76 |
| Interface | — |
Specs come from each project's README, paper or official page · PrimateAI-3D README · PrimateAI-3D paper. “—” means we couldn't verify it.
Compare with…
Pick 1–3 other Genomics & DNA models tools to compare side by side with PrimateAI-3D.
Related
Genome language model across all domains of life with 1M-token context.
Genomics & DNA modelsOpen source#dna-lm#foundation-model
DeepMind model predicting regulatory effects of DNA variants at base resolution.
Genomics & DNA modelsFree (research)#regulatory#variant-effect
Predicts gene expression from sequence with long-range interactions.
Genomics & DNA modelsOpen source#expression#regulatory