Å · AI-Driven Biomolecular Design
Generating novelbiomolecules to solvethe world’s toughest challenges.
We fuse deep structural biology with modern machine learning to design proteins, enzymes, and small molecules, from first principles to the bench.
- 01Drug Discovery
- 02Protein Design
- 03Structure Prediction
- 04Model Fine-Tuning
We generate novel biomolecules
to solve the world’s toughest
challenges in human health, bio-
security, and national resilience.
Nature took billions of years to explore a vanishing fraction of protein sequence space. We use AI to search it deliberately, designing molecules that don’t yet exist, then validating them with the rigor of experimental structural biology.
A rare full stack, from sequence
to structure to synthesis.
AI Drug Discovery
Computer-aided drug design that moves from target to validated lead through docking, free-energy estimation, and generative chemistry, guided by structure.
- Structure-based design
- Virtual screening
- Lead optimization
Protein & Enzyme Design
De novo proteins and re-engineered enzymes designed for stability, novel activity, and manufacturability, then evolved in silico before a single tube is touched.
- De novo scaffolds
- Directed evolution
- Enzyme engineering
Structure Prediction
State-of-the-art folding and complex prediction to see a molecule before it exists, resolving conformations, interfaces, and binding modes at atomic scale.
- Folding & docking
- Complex prediction
- Conformational analysis
ML & Model Fine-Tuning
Adapting and fine-tuning modern ML models to proprietary biological data, turning general-purpose architectures into sharp, domain-specific instruments.
- Custom fine-tuning
- Data pipelines
- Model evaluation
Proven on real molecules, not just benchmarks.
Our methods have driven live enzyme-engineering programs: redesigning a natural carbohydrate-processing enzyme for new activity and a more manufacturable form. We used modern structure prediction to model every variant, then ML-guided evolution to navigate sequence space, reserving the wet lab for the candidates most likely to work.
Specific programs are covered by confidentiality agreements; details shared under NDA.
- Target
- Carbohydrate-active enzyme (transglycosidase)
- Objective
- Re-engineer activity & oligomeric state
- Method
- Structure prediction + ML-guided sequence evolution
- Path
- In-silico design → experimental validation
One electronic core. Many threats.
A biosensor that isn’t locked to a single target.
Most biosensors are chained to one analyte because they depend on a chemistry-specific enzyme. Our allosteric biosensing platform separates detection from signal generation: an engineered binding event drives a conformational change that gates a buried electronic reporter. Swap the detector, keep the electronics, so a new target becomes a design problem, not a new device.
A modular path to continuous, multiplexed detection for defense and personal health. Mechanism and performance details are shared under NDA.
- Platform
- Allosteric biosensing platform
- Principle
- Analyte binding → conformational gating → electronic readout
- Modularity
- Interchangeable detection, conserved electronic core
- Applications
- Chemical-threat early warning · continuous physiological monitoring
- Status
- In development · provisional IP pending · white paper under NDA
Fourteen years across the entire pipeline.
Angstrom Advice is led by a scientist with fourteen years of hands-on experience spanning the full arc of molecular science, from genetics and molecular biology through protein expression, X-ray crystallography, and synthetic chemistry, to modern machine learning.
That breadth is the point. AI predictions are only as good as the person who can judge them at the bench. We build models grounded in real experimental reality, and we know how to test what they propose.
Disciplines in one pair of hands
- 01Genetics
- 02Molecular Biology
- 03Protein Expression
- 04X-Ray Crystallography
- 05Structural Biology
- 06Inorganic (O₂-Free) Synthesis
- 07Machine Learning
- 08Computational Design
06 · Contact
Let’s design what doesn’t exist yet.
For partnerships, funding conversations, and research collaboration, we’d like to hear about the problem you’re trying to solve.