Structure-based protein design

Structure-based design starts where sequence-only approaches run out of road: when questions about active-site geometry, binding interfaces, allosteric effects or real-world mechanical stress matter. We use crystal structures, cryo-EM data or high-quality predicted models as the foundation for rational engineering.

The first step is identifying hot spots — residues critical for function, stability, interface formation or aggregation. From there we design targeted single and combinatorial mutations and score them with physics-based energy functions and machine-learning predictors.

The second step produces curated variant lists with per-mutation rationale, predicted impact and risks. You see not just what to make but why — and can prioritize synthesis with full visibility.

Typical use cases: enzyme tuning for industrial and diagnostic applications, hyperstable scaffolds, binder design against difficult targets, and engineering of challenging membrane proteins.