The past decades have witnessed an
explosion of de novo protein designs with a remarkable
range of scaffolds. It remains
challenging, however, to design catalytic functions that are competitive
with naturally occurring counterparts as well as biomimetic or nonbiological
catalysts. Although directed evolution often offers efficient solutions,
the fitness landscape remains opaque. Green fluorescent protein (GFP),
which has revolutionized biological imaging and assays, is one of
the most redesigned proteins. While not an enzyme in the conventional
sense, GFPs feature competing excited-state decay pathways with the
same steric and electrostatic origins as conventional ground-state
catalysts, and they exert exquisite control over multiple reaction
outcomes through the same principles. Thus, GFP is an “excited-state
enzyme”. Herein we show that rationally designed mutants and
hybrids that contain environmental mutations and substituted chromophores
provide the basis for a quantitative model and prediction that describes
the influence of sterics and electrostatics on excited-state catalysis
of GFPs. As both perturbations can selectively bias photoisomerization
pathways, GFPs with fluorescence quantum yields (FQYs) and photoswitching
characteristics tailored for specific applications could be predicted
and then demonstrated. The underlying energetic landscape, readily
accessible via spectroscopy for GFPs, offers an important missing
link in the design of protein function that is generalizable to catalyst
design.