Computer simulations of enzyme catalysis: Finding out what has been optimized by evolution

The origin of the catalytic power of enzymes is discussed, paying attention to evolutionary constraints. It is pointed out that enzyme catalysis reflects energy contributions that cannot be determined uniquely by current experimental approaches without augmenting the analysis by computer simulation studies. The use of energy considerations and computer simulations allows one to exclude many of the popular proposals for the way enzymes work. It appears that the standard approaches used by organic chemists to catalyze reactions in solutions are not used by enzymes. This point is illustrated by considering the desolvation hypothesis and showing that it cannot account for a large increase in kcat relative to the corresponding kcage for the reference reaction in a solvent cage. The problems associated with other frequently invoked mechanisms also are outlined. Furthermore, it is pointed out that mutation studies are inconsistent with ground state destabilization mechanisms. After considering factors that were not optimized by evolution, we review computer simulation studies that reproduced the overall catalytic effect of different enzymes. These studies pointed toward electrostatic effects as the most important catalytic contributions. The nature of this electrostatic stabilization mechanism is far from being obvious because the electrostatic interaction between the reacting system and the surrounding area is similar in enzymes and in solution. However, the difference is that enzymes have a preorganized dipolar environment that does not have to pay the reorganization energy for stabilizing the relevant transition states. Apparently, the catalytic power of enzymes is stored in their folding energy in the form of the preorganized polar environment.

On the failure of de novo-designed peptides as biocatalysts.

While the elegance and efficiency of enzymatic catalysis have long tempted chemists and biochemists with reductionist leanings to try to mimic the functions of natural enzymes in much smaller peptides, such efforts have only rarely produced catalysts with biologically interesting properties. However, the advent of genetic engineering and hybridoma technology and the discovery of catalytic RNA have led to new and very promising alternative means of biocatalyst development. Synthetic chemists have also had some success in creating nonpeptide catalysts with certain enzyme-like characteristics, although their rates and specificities are generally much poorer than those exhibited by the best novel biocatalysts based on natural structures. A comparison of the various approaches from theoretical and practical viewpoints is presented. It is suggested that, given our current level of understanding, the most fruitful methods may incorporate both iterative selection strategies and rationally chosen small perturbations, superimposed on frameworks designed by nature.