Enzymes have in vivo life spans. Analysis of life
spans, i.e., lifetime totals of catalytic turnovers, suggests that
nonsurvivable collateral chemical damage from the very reactions that
enzymes catalyze is a common but underdiagnosed cause of enzyme death.
Analysis also implies that many enzymes are moderately deficient in
that their active-site regions are not naturally as hardened against
such collateral damage as they could be, leaving room for improvement
by rational design or directed evolution. Enzyme life span might also
be improved by engineering systems that repair otherwise fatal active-site
damage, of which a handful are known and more are inferred to exist.
Unfortunately, the data needed to design and execute such improvements
are lacking: there are too few measurements of in vivo life span, and existing information about the extent, nature, and
mechanisms of active-site damage and repair during normal enzyme operation
is too scarce, anecdotal, and speculative to act on. Fortunately,
advances in proteomics, metabolomics, cheminformatics, comparative
genomics, and structural biochemistry now empower a systematic, data-driven
approach for identifying, predicting, and validating instances of
active-site damage and its repair. These capabilities would be practically
useful in enzyme redesign and improvement of in-use stability and
could change our thinking about which enzymes die young in
vivo, and why.