HexaGene is a deterministic physics engine that calculates structural stress, resilience, and failure risk from DNA sequences and biomarkers β without machine learning, without training data.
Enter any DNA sequence to see the binary lattice encoding and structural damage score in real-time.
HexaGene applies established thermodynamic and biophysical principles to quantify structural stress in DNA sequences.
DNA is not just information β it's a physical polymer with measurable mechanical properties. Base-pair stacking energies, hydrogen bond strengths, and local flexibility are governed by well-understood thermodynamics. HexaGene formalizes these principles into a deterministic scoring framework.
The stability of DNA depends on stacking interactions between adjacent base pairs β the same principle used in RNA folding models and PCR primer design.
A mutation's impact depends on its neighbors. CpG dinucleotides, trinucleotide contexts, and codon position all modulate local physical stability.
Mutations that disrupt local stiffness, introduce torsional strain, or break symmetric patterns create measurable "structural dissonance."
AI and ML tools learn from historical data. They cannot predict what they haven't seen. Biology doesn't work that way β it follows physics.
40%+ of genetic findings are VUS. Existing tools cannot classify novel or rare variants because they weren't in training data.
90% of candidates fail clinical trials. Current tools miss structural instability that manifests only under biological stress.
Codon optimization tools achieve 0.14 correlation with expression. Aggregation causes 30% of biologics batch failures.
Standard risk tools achieve 70-80% accuracy and 1.5-2Ο separation. Structural deterioration starts years before diagnosis.
HexaCore is the deterministic physics engine at the foundation. Each module is a validated application of the same underlying physics.
Structural Physics Engine
Deterministic β’ Explainable β’ Zero-Shot
Improve yield, stability, and predictability in biological drug manufacturing.
Identify structurally robust therapeutic sequences early in development.
Assess functional risk of genetic variants including synonymous mutations.
Quantify system-level resilience from routine biomarkers.
Every module is independently validated on published datasets. No simulations. No synthetic benchmarks.
38,000 genetic variants from NCBI ClinVar. Engine blind to clinical labels. Physics-based risk calculation separated benign from pathogenic with mathematical certainty.
2,000 ClinVar missense variants benchmarked against REVEL ensemble predictor. HexaGene maintains discrimination where conservation-based tools fail β proving statistical independence and complementary signal.
7,939 participants from CDC national survey. Structural constants inferred from routine biomarkers without genetic data.
IPNS enzymes across 15 organisms. Structural conflict rate predicts expression stability with near-perfect correlation.
Validation datasets and results are publicly available. Core methodology is patent-protected.
Validation scripts, benchmark datasets, and reproducible analysis pipelines.
Technical manuscript: HexaGene resolves VUS in ML grey zones with T=3.62 where REVEL scores 0.4-0.6.
Complete dataset: 7,939 subjects, 10-marker panels, outcome validation. DOI for citation.
Interactive metabolic risk demo with 3,097 NHANES subjects. Enter your own biomarkers for real-time prediction.
HexaGene is seeking validation partners in pharmaceutical manufacturing, drug discovery, clinical diagnostics, and precision medicine.