Exploring challenges in rational enzyme design by simulating the catalysis in artificial kemp eliminase

Abstract

One of the fundamental challenges in biotechnology and in biochemistry is the ability to design effective enzymes. Doing so would be a convincing manifestation of a full understanding of the origin of enzyme catalysis. Despite an impressive progress, most of the advances on this front have been made by placing the reacting fragments in the proper places, rather than by optimizing the environment preorganization, which is the key factor in enzyme catalysis. Rational improvement of the preorganization would require approaches capable of evaluating reliably the actual catalytic effect. This work takes apreviously designed kemp eliminases as a benchmark for a computer aided enzyme design, using the empirical valence bond as the main screening tool. The observed absolute catalytic effect and the effect of directed evolution are reproduced and analyzed (assuming that the substrate is in the designed site). It is found that, in the case of kemp eliminases, the transition state charge distribution makes it hard to exploit the active site polarity, even with the ability to quantify the effect of different mutations. Unexpectedly, it is found that the directed evolution mutants lead to the reduction of solvation of the reactant state by water molecules rather that to the more common mode of transition state stabilization used by naturally evolved enzymes. Finally it is pointed out that our difficulties in improving Kemp eliminase are not due to overlooking exotic effect, but to the challenge in designing a preorganized environment that would exploit the small change it charge distribution during the formation of the transition state.computer aided enzyme design | empirical valence bond | directed evolution R ational enzyme design is expected to have a great potential in industrial application and eventually in medicine (1). Furthermore, the ability to design efficient enzymes might be considered as the best manifestation of a true understanding of enzyme catalysis. However, at present there has been a limited success in most attempts of rational enzyme design, and the resulting constructs have been much less effective than the corresponding natural enzymes (1). Furthermore, despite the progress in directed evolution (e.g., ref.2), we do not have unique rationales for the resulting rate enhancements.Most attempts to identify the problems with the current rational design approaches (for review, see ref. 1) have not been based on actual simulations of the given effect. In fact, it has been argued (3,4), that the problems are due to the incomplete modeling of the transition state (TS) and to the limited awareness to the key role of the reorganization energy. Even a recent attempt to use a molecular orbital-combined quantum mechanical /molecular mechanics (MO-QM/MM) approach (5) has not provided a reasonable estimate of the observed catalytic effect or the trend of the mutational effects in an artificially design enzyme. Thus, reproducing the effect of directed evolution and eventually obtaining better performance in enzyme de...

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