Reshaping the Science of Beauty with Computation
Health and longevity are the foundation; beauty is the growth engine. Transforming A/T/C/G into commercial-grade aesthetic insights--the same WGS data supports both health and beauty.
Understand how genes affect your beauty--which aesthetic procedures suit you best
Evaluate gene-level precision aesthetics and anti-aging peptide screening capabilities
Assess differentiated technical strength and Chinese population data assets
Three Dry-Computing Pipelines
Transforming raw sequencing data into commercial-grade insights for medical aesthetics, anti-aging, and personalized health management
Four Steps to Your Genetic Beauty Profile
Obtain Genetic Data
Partner sequencing institutions collect and submit samples. Already have a VCF file? Upload directly, start at zero cost. The same data supports both health-longevity and beauty interpretation.
AI Three-Pipeline Parallel Computing
Pipeline A: PRSice-2 + PGS Catalog for aesthetic target risk scoring. Pipeline B: Protenix V2 + FoldX + ProteinMPNN for molecular-level screening. Pipeline C: QIIME2 + ANNOVAR for microbiota-gene cross-mining.
Receive Genetic Beauty Profile (GBP)
A report you can understand--"Your collagen retention ranks in the 80th percentile, recommend Thermage." "MC1R variant, high pigmentation risk from IPL, consider picosecond lasers instead." Actionable beauty recommendations.
Lifelong Tracking & Annual Re-analysis
Track epigenetic clock every 6 months. Annual re-analysis--new databases + new models + new targets. Quantified anti-aging results: biological age changes, collagen indicator changes.
Verifiable Engineering Foundation
Not a vision on a slide--but proven, validated, deliverable engineering capability
| Metric | Value | Note |
|---|---|---|
| Structure Prediction Accuracy | pLDDT 95.4 | Pipeline B: Protenix V2 triple-engine cross-validation |
| Molecular Docking Accuracy | ΔΔG ~1.1 kcal/mol | Pipeline B: FoldX literature benchmark |
| Immunogenicity Pre-screening | AUROC 0.7547 | Pipeline B: MHCflurry TESLA benchmark |
| PRS Computing Engine | PRSice-2 ✅ | Pipeline A: deployed and verified |
| PGS Catalog Weights | 4,000+ published | Pipeline A: includes aesthetic target weights |
| Chinese Population Calibration | GVM+NyuWa+WBBC | Pipeline A: triple-database cross-calibration |
| Localized Models | 38 SOTA | All tools locally deployed, data never leaves |
| HLA Typing | Dual-tool cross | Pipeline C: OptiType+Polysolver verified |
Honest Boundaries
What we can and cannot do--clear boundaries build trustworthy reliability
What We Can Do
- ✓Compute polygenic risk scores (PRS) for aesthetic targets based on GWAS data
- ✓Protein 3D structure prediction + molecular docking + peptide design (Pipeline B all tools 100% deployed)
- ✓16S/ITS skin microbiome analysis + host gene cross-mining (Pipeline C designed, pending deployment)
- ✓Chinese population calibration (GVM + NyuWa + WBBC)
- ✓B2B2C model--serving as the computing backbone for aesthetic/anti-aging institutions
What We Don't Do
- ✗No clinical skin diagnosis--GBP is risk assessment, not dermatological diagnosis
- ✗No skincare product recommendations--we output causal maps, not product ads
- ✗No sequencing--we do computational analysis, samples are provided by partners
- ✗No "gene editing for beauty"--gene editing is for genetic disease treatment
- ✗Targets with insufficient East Asian coverage are flagged "needs validation"
Technical Strength & Capabilities
Three layers of differentiation: model precision -> pipeline synergy -> data accumulation
Model Precision
— 38 SOTA models + multi-model cross-validationProtenix V2 + ESMFold + Boltz-2 triple-engine structure prediction, Genos + AlphaGenome + Evo2 triple-model VUS scoring. No single-model user can match our cross-validation precision. All tools locally deployed, data never leaves the country.
Pipeline Synergy
— Three-pipeline cross-validationPRS pipeline (risk quantification) + protein pipeline (molecular screening) + microbiome pipeline (microbiota-gene cross-analysis). Single pipelines can be copied, but three-pipeline cross-validation creates differentiation. Same data yields three insights at near-zero marginal cost.
Data Accumulation
— Chinese population aesthetic PRS calibration dataEvery GBP report accumulates Chinese population gene-aesthetic phenotype association data. This data fuels continuous model optimization, taking years to build from scratch. Health-longevity engine data assets can be directly transferred, not starting from zero.
Glossary
CAPACITY TRACE
Capacity Trace
Which capabilities support this service--from silicon to your scenario
Silicon (L1) -> Models (L2) -> Agents (L3) -> Pipelines (L4) -> Your Scenario
Start Building Your Genetic Beauty Profile
The same WGS data supports both health-longevity and beauty interpretation.
Health and longevity are the foundation; beauty is the growth engine
DiVo Gen²AI · Genomics + Protein Engineering AI Computing Services