Structured Computational Scouting for Enzyme Programs.

Search broad sequence spaces to identify and prioritize enzyme families before committing to more costly experimental screening campaigns.

Enzyme Variant Scouting

For Industrial Bio & AgTech Process Teams

Appropriate for groups aiming to establish a focused starting set of candidate enzymes for experimental review and early screening.

•Teams working through broad sequence search spaces that require structured computational filtering.
•Programs that benefit from explicit structural rationale to guide early variant selection.

•Requires a clearly defined functional assay, catalytic goal, or operational constraint to support meaningful candidate prioritization.

•Not intended to replace iterative directed evolution or experimental screening; this service is designed to establish a stronger starting set.

Recommendations are structured starting sets; experimental screening remains essential.

Formalizing catalytic requirements, operational tolerances, and functional objectives.

Searching relevant environmental, genomic, or curated sequence datasets for distinct candidate variants.

Applying structural review and filtering to reduce obvious incompatibilities and improve candidate relevance.

Delivering a focused, logically clustered candidate set for initial experimental review and screening.

Structured candidate packages designed to support experimental prioritization, sequence review, and clearer selection rationale.

FASTA

Annotated candidate sequences grouped by similarity and selection rationale.

Business Value:Supports experimental planning and the creation of a more focused initial screening library.

PDB / PSE

3D structural context for top candidates, including relevant active-site interpretation where applicable.

Business Value:Provides additional rationale for sequence selection and supports project-level review.