Designed by working biologists
127 reviewed candidate sets delivered to partner R&D teams last quarter.
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Zymos runs iterative, reaction-aware design cycles to generate, score, and rank protein candidates against your molecular targets — delivering a structured technical package, not a black-box answer.
The platform's approach to AI-driven candidate exploration — not a service catalogue, not a results-guarantee, a research and development technology.
Reaction-aware generation
Iterative AI generation of enzyme and protein candidates within defined target and reaction constraints.
Multi-pass screening
Automated screening filters large candidate sets to higher-confidence molecules across successive passes.
Reaction encoding
Target reaction, substrate profile, and functional constraints become design parameters for the engine.
Iterative ranking
Candidates are scored against multiple computational metrics, with weaker candidates eliminated each cycle.
Structured technical output
Ranked candidates, scores, structural indicators and interpretation notes — built for downstream R&D decisions.
Collaboration
Built for partner R&D collaboration.
Internal product development, licensing, and partner research projects — the platform fits where you already work.
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Target intake
Reaction, substrate profile and functional constraints are encoded as design parameters for the engine.
Iterative generation
The platform executes 100+ candidate-generation cycles using reaction-aware models, producing diverse structural families per cycle.
Multi-pass screening
Candidates are scored and filtered across computational metrics; weaker candidates fall off across successive iterations.
Structured handoff
A ranked technical package — candidates, scores, structural indicators, and interpretation notes — informs downstream research.
Biological activity, expression, and functional performance must be confirmed experimentally.
Every ranked candidate carries its scores, structural indicators, and interpretation notes — auditable end-to-end.
These represent areas where computational enzyme and protein design may have scientific or industrial relevance — not confirmed deployment areas.
Tell us about your reaction, your substrate profile, and the constraints you care about. We'll respond with a scoped collaboration proposal.