Use case
Design Pichia expression constructs for industrial enzymes with cited evidence, ranked CDS panels, and secretion strategies.
The problem
Industrial enzymes — cellulases, lipases, phytases — require high secreted yields in Pichia. The design space is enormous: codon usage, signal peptide choice, promoter strength, copy number. Teams spend weeks iterating on constructs that fail at the wet-lab stage because of design flaws visible in silico: poor codon adaptation, unfavorable Kozak context, or signal-peptide mismatches.
How Kairos helps
Kairos retrieves cited evidence for your target enzyme, generates a ranked CDS panel optimized for Pichia codon usage, evaluates secretion-leader candidates (α-MF, SUC2, native), and checks each construct for synthesis safety, translation initiation, and developability flags. Every score is deterministic and re-runnable — you see exactly why one candidate ranks above another.
Honesty boundary: Kairos ranks dry-lab design quality. It does not predict expression level or titer. The output is a design recommendation grounded in directional evidence.
Cited evidence landscape
Literature and patent evidence retrieved for your enzyme class — every claim traceable to its source.
Ranked CDS panel
Pareto-ranked candidates with host-fidelity scores — codon rhythm matched to K. phaffii, not naive max-CAI.
Construct checks
Synthesis safety, 5′ translation initiation, and developability flags — before you spend on synthesis.
Worked example
Minutes, not weeks. Every construct scored, every claim cited, every limit stated.