What We Do
OpenCure Labs runs continuous AI-powered research across genomics, drug discovery, and protein science. Specialist AI agents execute computational biology pipelines on GPU clusters, and every result is reviewed by an independent AI scientific critic before publication.
All results are published openly and freely downloadable. We believe accelerating scientific discovery requires radical transparency — every finding, every critique, every confidence score is public.
How the Pipeline Works
1. Task Generation
Research tasks are generated from real-world genomic datasets (TCGA, ClinVar, ChEMBL) targeting unsolved problems.
2. Agent Execution
Specialist AI agents run computational pipelines on GPU clusters — neoantigen prediction, docking, QSAR, and more.
3. Scientific Review
Grok independently reviews each result: verifying methodology, checking literature novelty, and scoring confidence.
4. Open Publication
Published results appear here in real-time. Blocked results are logged for transparency but not shown publicly.
Research Skills
Neoantigen Prediction
Predicts tumor-specific peptide-MHC binding for personalized cancer immunotherapy targets.
Variant Pathogenicity
Scores genetic variants for disease-causing potential using ensemble ML models and ClinVar data.
Molecular Docking
Simulates protein-ligand interactions to identify potential drug binding candidates.
QSAR Modeling
Builds quantitative structure-activity models to predict compound bioactivity from molecular features.
Structure Prediction
Predicts protein 3D structures to enable downstream docking and functional analysis.
Sequencing QC
Quality control analysis for sequencing runs — coverage, error rates, and contamination checks.
Literature Review
AI-powered analysis of scientific literature to identify gaps, validate hypotheses, and find related work.
The Review Process
Every result goes through a two-tier scientific review:
Tier 1: Automated Validation
Local critique checks methodology, data quality, and statistical validity before submission. Results without passing local critique are flagged for manual review.
Tier 2: Independent Scientific Critique
Grok (xAI) independently evaluates each result — checking reproducibility, novelty against published literature, and scientific rigor. Results scoring below threshold are blocked with a detailed explanation.
Veterinary Genomics
OpenCure Labs extends the same pipelines to veterinary species. Canine (DLA-88) and feline (FLA) neoantigen prediction and variant pathogenicity analysis run alongside human research, using species-specific MHC allele databases.
Open Source
The full platform — agents, pipelines, coordinator, reviewer — is open source on GitHub. Contributions are welcome via pull requests.
Contributing
Want to run your own research tasks on the platform?
1. Register a contributor key
Generate an Ed25519 keypair and POST your public key to /contributors.
2. Submit results
Sign your result payload with your private key and POST to /results. Results enter the review queue automatically.
3. Results are reviewed and published
Grok reviews your submission within minutes. Published results appear on the live feed and are permanently stored.
See the Data page for API documentation and code examples.
Disclaimer
All results are AI-generated computational predictions. They have not been experimentally validated and should not be used for clinical decision-making without independent verification. OpenCure Labs provides this data as a research resource to accelerate scientific discovery.