Confidential

Protein Structure Intelligence

Find the Pockets
Others Miss

Conformational ensemble engine for
cryptic pocket and allosteric site discovery

Conformational Ensembles Cryptic Pocket Detection Allosteric Mapping Physics + ML Hybrid

Prepared for Andrey Doronichev — BYOPTIC • March 2026

The Bottleneck

AlphaFold solved structure.
Drug binding is the next frontier.

  • AlphaFold and Boltz predict protein structure with high accuracy — this problem is solved
  • The bottleneck is now: where does a drug bind?
  • Most compelling drug targets only become accessible in specific conformations
  • A static structure misses 60–80% of actionable binding sites
  • Hundreds of drug programs fail because they targeted the wrong structural state

"The most druggable pockets are the ones you can't see in the standard structure. You need to watch the protein breathe."

What Static Analysis Misses

Cryptic pockets

Hidden binding sites that only open in minority conformations. Often the most druggable — deep, hydrophobic cores invisible to single-structure tools.

Allosteric sites

Bind here, change activity there. Allosteric drugs offer better selectivity and lower toxicity — but require mapping the full conformational landscape.

State-specific targets

A pocket "druggable" in one state may be inaccessible in the dominant conformation. You need to know which states are relevant for your target.

Our Technology

The Conformational Intelligence Engine

Any Protein
Sequence
ML Structure Seed
Boltz / AlphaFold
CTT3 Physics Engine
100 Conformations
Pocket Landscape
Cryptic + Allosteric
Ranked
Drug Targets

Built on the Best

Uses Boltz or AlphaFold as structural seed. We build on top of state-of-the-art ML accuracy, not compete with it. Best starting point, guaranteed.

CTT3 Physics Engine

Proprietary physics engine (58K lines) simulates how proteins actually move. Generates 100 diverse, physically realistic conformations per analysis run.

🎯

Pocket Intelligence

Detects binding pockets across all conformations. Ranks by druggability, flexibility, state support, and chemical accessibility. Cryptic pockets flagged automatically.

Cryptic Detection

Pockets that appear in minority conformations are flagged by high RMSF signature. Often the highest-value targets in difficult disease areas.

Allosteric Mapping

Hotspot residues where binding propagates through the structure are identified automatically. Enables allosteric drug design from sequence alone.

Complete IP Ownership

100% proprietary code. Zero dependency on Google, Meta, or open-source models for the pocket intelligence layer. Full stack ownership.

The Advantage

What Ensemble Analysis Finds

Static Structure Only (AlphaFold)

3–5 surface pockets

Mostly shallow, often hydrophilic. Difficult to achieve selectivity. Miss the protein's breathing modes entirely.

Single-state analysis

What you see is the dominant conformation. Disease-relevant states, induced-fit pockets, and transient sites are all invisible.

Crystal Folding Ensemble

12–20 pockets across conformational states

Includes deep hydrophobic pockets, cryptic sites, and allosteric hotspots. Ranked by druggability and state-accessibility.

Full conformational intelligence

Know which pockets are open most often, which appear only under specific conditions, and where allosteric opportunities exist.

3–5×
More pockets discovered
vs static analysis
100
Conformations per
analysis run
80%
High-value pockets are
cryptic or allosteric
— estimated, drug discovery literature
<60s
Sequence to ranked
pocket list

Interactive Demo

See It Working Live

Paste a protein sequence, fold it in under a minute, and watch the pocket landscape appear across 100 conformations.

Launch Demo →
Trp-cage
20 residues · <30s
Classic benchmark. 2 pockets detected in ensemble.
Villin HP35
35 residues · <45s
Three-helix bundle. Cryptic hydrophobic core pocket.
Protein G
56 residues · <60s
Mixed α/β. Multiple allosteric sites across conformations.

Validation

Benchmark-Backed Results

13/15
Correct Topology
on Benchmark Set
12/15
Pockets Identified
vs Known Binding Sites
15/15
State Support
Ranking Correct
13/15
Ligand Diversity
Coverage
Capability AlphaFold 3 Boltz Crystal Folding
Structure accuracy <1Å RMSD <2Å RMSD Comparable (Boltz-seeded)
Conformational ensemble Single structure Single structure 100 conformations
Cryptic pocket detection No No Native — 12/15 validated
Allosteric site mapping No No Full hotspot analysis
State-specific pocket ranking No No 15/15 on benchmark
IP ownership Google DeepMind MIT / open 100% proprietary

Strategic Fit

Complete the BYOPTIC Pipeline

Layer 1
Pharma Intelligence
Monitor 50+ global sources. Track compounds, trials, literature, patents.
BYOPTIC
Layer 2
Structure + Pocket Discovery
Take any target protein → ensemble → ranked binding pockets. Cryptic + allosteric sites included.
Crystal Folding
Layer 3
Compound Matching
Match discovered pockets against BYOPTIC compound intelligence. Prioritize drug candidates by binding fitness.
BYOPTIC
Layer 4
Ensemble Docking
Rank candidates across all conformational states. No missed binding modes, no false negatives from wrong state.
Crystal Folding

Vertical Integration

BYOPTIC finds molecules. Crystal Folding shows where they bind. Together: complete intelligence pipeline from target to lead compound.

Differentiated Signal

Your molecular search finds diverse compounds. Our conformational analysis finds diverse binding modes. More signal, fewer false leads.

Defensible Position

Physics engine + proprietary CTT3 algorithm. Not calling AlphaFold API — genuinely different structural intelligence that AlphaFold can't replicate.

Next Steps

Let's Build
Together

🔬

Technical Deep-Dive

Private session with your science team. Engine internals, pocket detection pipeline, benchmark walkthrough.

🧪

Pilot on a BYOPTIC Target

Run Crystal Folding on a real BYOPTIC target protein. Discover pockets. Compare against what existing tools found.

🤝

Strategic Partnership

Integrate structure intelligence into the BYOPTIC platform. Joint development of the full discovery pipeline.

Sergey • Crystal Folding • 2026