Mathematical framing — why the search is bounded.

DiscoveryLab reduces a combinatorial sequence universe into ranked, mechanism-checked, testable neighborhoods.

Naïve peptide generation scales as alphabet_sizeᴸᴱᴺᴳᵀᴴ. DiscoveryLab reduces effective search by lowering the target receptor set, selecting plausible scaffold classes, applying motif constraints, using structural priors, generating candidate families around plausible neighborhoods, pruning with in-silico assays, verifying pathway-mechanism claims, and updating future search from wet-lab and perturbation feedback.

“Every stage either constrains, ranks, or rejects. Nothing is generated simply because it is syntactically possible — and no mechanism claim is accepted simply because it sounds plausible.”