A general approach for the computational design of enzymes to catalyze arbitrary reactions is a goal at the forefront of the field of protein design. Recently, computationally designed enzymes have been produced for three chemical reactions through the synthesis and screening of a large number of variants. Here, we present an iterative approach that has led to the development of the most catalytically efficient computationally designed enzyme for the Kemp elimination to date. Previously established computational techniques were used to generate an initial design, HG-1, which was catalytically inactive. Analysis of HG-1 with molecular dynamics simulations (MD) and X-ray crystallography indicated that the inactivity might be due to bound waters and high flexibility of residues within the active site. This analysis guided changes to our design procedure, moved the design deeper into the interior of the protein, and resulted in an active Kemp eliminase, HG-2. The cocrystal structure of this enzyme with a transition state analog (TSA) revealed that the TSA was bound in the active site, interacted with the intended catalytic base in a catalytically relevant manner, but was flipped relative to the design model. MD analysis of HG-2 led to an additional point mutation, HG-3, that produced a further threefold improvement in activity. This iterative approach to computational enzyme design, including detailed MD and structural analysis of both active and inactive designs, promises a more complete understanding of the underlying principles of enzymatic catalysis and furthers progress toward reliably producing active enzymes.computational protein design | de novo enzyme design | proton transfer T he high efficiency, chemoselectivity, regio-and stereospecificity, and biodegradability of enzymes make them extremely attractive catalysts. However, the finite repertoire of naturally occurring enzymes limits their applicability to broad problems in biotechnology. A general method for the computational design of enzymes that can efficiently catalyze arbitrary chemical reactions would allow the benefits of enzymatic catalysis to be applied to chemical transformations of interest that are currently inaccessible via natural enzymes. Bolon and Mayo provided important early evidence that such an approach is feasible (1), which motivated significant progress toward this goal in recent years. Using quantum mechanics-based active site design and the Rosetta software suite, Baker, Houk, and coworkers designed enzymes for three chemically unrelated nonnatural reactions in a variety of catalytically inert scaffolds (2-4).In early incarnations of computational protein design, a strategy for methods development was put forth in terms of the so-called "protein design cycle" in which experimental evaluation of an initial design is used to inform adjustments to the design process for subsequent rounds of design (5, 6). Ideally, these steps would be continued iteratively until the protein sequences predicted by the algorithm exhibit the desired char...

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The longer emission wavelengths of red fluorescent proteins (RFPs) make them attractive for whole-animal imaging because cells are more transparent to red light. Although several useful RFPs have been developed using directed evolution, the quest for further red-shifted and improved RFPs continues. Herein, we report a structure-based rational design approach to red-shift the fluorescence emission of RFPs. We applied a combined computational and experimental approach that uses computational protein design as an in silico prescreen to generate focused combinatorial libraries of mCherry mutants. The computational procedure helped us identify residues that could fulfill interactions hypothesized to cause red-shifts without destabilizing the protein fold. These interactions include stabilization of the excited state through H-bonding to the acylimine oxygen atom, destabilization of the ground state by hydrophobic packing around the charged phenolate, and stabilization of the excited state by a π-stacking interaction. Our methodology allowed us to identify three mCherry mutants (mRojoA, mRojoB, and mRouge) that display emission wavelengths >630 nm, representing red-shifts of 20-26 nm. Moreover, our approach required the experimental screening of a total of ∼5,000 clones, a number several orders of magnitude smaller than those previously used to achieve comparable red-shifts. Additionally, crystal structures of mRojoA and mRouge allowed us to verify fulfillment of the interactions hypothesized to cause red-shifts, supporting their contribution to the observed red-shifts. The red fluorescence displayed by these proteins arises from the presence of an acylimine group conjugated with the standard p-hydroxybenzylideneimidazolinone GFP chromophore (6). The additional double bond extends the size of the chromophore conjugated system leading to an increase in emission wavelength. The longer emission wavelength of RFPs makes them attractive for whole-animal imaging because cells are more transparent to red light. For imaging applications, higher emission wavelengths (650-900 nm) are desirable because they tend to minimize background absorption and light scattering by tissue components and are less damaging to cells, enabling longer acquisition times.Naturally-occurring Anthozoa RFPs, such as zRFP574 (7), eqFP578 (8), DsRed (9), and eqFP611 (10), are obligate oligomers that display emission wavelengths ranging from 574 nm to 611 nm. Significant effort has been made to monomerize and red-shift the emission wavelength of these RFPs using directed evolution. Starting from various wild-type precursors, these procedures have produced several far-red (λ em > 630 nm) monomeric RFPs such as mPlum (11), mKate2 (12), and mNeptune (13). Each of these useful monomeric RFPs was developed using random mutagenesis (5,13,14). Although directed evolution has successfully yielded red-shifted monomeric RFPs, a strictly rational methodology to red-shift Anthozoa class FPs has not yet been described. Aside from the T203Y mutation in Aequorea victor...

The creation of artificial enzymes is a key objective of computational protein design. Although de novo enzymes have been successfully designed, these exhibit low catalytic efficiencies, requiring directed evolution to improve activity. Here, we use room-temperature X-ray crystallography to study changes in the conformational ensemble during evolution of the designed Kemp eliminase HG3 (kcat/KM 146 M−1s−1). We observe that catalytic residues are increasingly rigidified, the active site becomes better pre-organized, and its entrance is widened. Based on these observations, we engineer HG4, an efficient biocatalyst (kcat/KM 103,000 M−1s−1) containing key first and second-shell mutations found during evolution. HG4 structures reveal that its active site is pre-organized and rigidified for efficient catalysis. Our results show how directed evolution circumvents challenges inherent to enzyme design by shifting conformational ensembles to favor catalytically-productive sub-states, and suggest improvements to the design methodology that incorporate ensemble modeling of crystallographic data.

Through a multidisciplinary approach comprising organic synthesis, molecular biology, and physical organic kinetic studies, we have studied the mechanism of transglutaminase-mediated transamidation. More recently, we have applied our understanding of the mechanism to the design of reversible inhibitors and affinity labels for biological application. We have also undertaken the engineering of transglutaminase for its application as a “peptide synthase”. Herein, we present a brief overview of previously published work as well as recent results presented at the 2007 Merck–Frosst Centre for Therapeutic Research Award Lecture.Key words: transglutaminase, enzyme mechanism, enzyme inhibition, protein engineering