Target-conditioned generation
Generate candidate backbones and sequences around a defined binding surface or motif.
Generative biology
Project / 02
AI in Miniprotein Design
Design compact, stable protein binders against challenging biological targets with computational precision.
Generative biology
EPM / 02
01 Purpose
Turn structural intent into experimentally actionable miniprotein candidates with fewer disconnected handoffs.
A generative design workspace that proposes miniprotein structures, evaluates target interfaces, and prioritizes sequences for synthesis. It brings structure generation, sequence optimization, and developability review into one iterative loop.
Explore more structural hypotheses before synthesis
Prioritize candidates against project-specific design constraints
Create a reproducible bridge between modeling and assay teams
02 Platform capabilities
Designed around
the decision.
Purpose-built intelligence for the workflow, evidence, and constraints of this research domain.
Multi-objective scoring
Balance predicted affinity, stability, specificity, solubility, and manufacturability.
Design lineage
Track how every candidate evolved across rounds of computational optimization.
03 Research workflow
1Define interface
2Generate structures
3Optimize sequences
4Select candidates
04 Applications
Where the platform
creates leverage.
Protein–protein interfaces
Design compact binders for broad or difficult interaction surfaces.
Targeted delivery
Develop stable targeting domains for research and therapeutic delivery systems.
Research reagents
Create selective binders for perturbation, detection, and mechanistic studies.
05 Explore the platform
See what miniprotein design could unlock for your team.
Share your current research objective and we’ll tailor the conversation around your workflow.