Can the evolution of an enzyme be filmed in real time?

A progressive and iterative approach (in silico -> minimal validation -> full experiment) is adopted, with clearly defined go/no-go/pivot criteria. This maximises resource efficiency and permits early adjustments.

The hypothesis successfully bridges two powerful conceptual frameworks: Wrightian fitness landscapes and modern chemical biology tools. The proposed use of activity-based probes (ABPs) as a direct, quantitative readout of a molecular phenotype (enzyme activity) to define a synthetic fitness landscape is conceptually elegant and aligns with the 'mechanistic turn' in evolutionary theory.

The hypothesis elegantly links molecular phenotype (enzyme activity) to a selectable cellular trait (fluorescence) via a clever chemical biology tool, creating a direct readout for evolution.

A critical need in pharmaceutical and biotech R&D is addressed: the accelerated optimisation of enzymes and therapeutic targets. The market for industrial enzyme development services is estimated at >$7 billion, with growth driven by biocatalysis.

The hypothesis merges chemical biology (bioorthogonal ABPs), experimental evolution, and flow cytometry in an original manner, creating a potentially generic methodology for quantifying synthetic fitness landscapes. The approach is quantitative and permits real-time observation, which constitutes a clear methodological advantage.