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Directed evolution

Set objective goals, breed a generation of synonymous mutants (the protein never changes), select the fittest, and climb the landscape. Every fitness number is computed by the real engine.

mode: evolution · cloning · primer design

Goals — what makes a genome "fit"

offspring/gen mutations/offspring

Current genome — generation 0

Fitness landscape

Best fitness per generation. Each breed keeps a population of mutants; pick any candidate below to make it the new parent (you steer the lineage).

This generation's population — click to select the parent

Breed a generation to populate.