Robust design and optimization of retroaldol enzymes.

Enzyme catalysts of a retroaldol reaction have been generated by computational design using a motif that combines a lysine in a nonpolar environment with water-mediated stabilization of the carbinolamine hydroxyl and β-hydroxyl groups. Here, we show that the design process is robust and repeatable, with 33 new active designs constructed on 13 different protein scaffold backbones. The initial activities are not high but are increased through site-directed mutagenesis and laboratory evolution.

Structural analyses of covalent enzyme-substrate analog complexes reveal strengths and limitations of de novo enzyme design.

We report the cocrystal structures of a computationally designed and experimentally optimized retro-aldol enzyme with covalently bound substrate analogs. The structure with a covalently bound mechanism-based inhibitor is similar to, but not identical with, the design model, with an RMSD of 1.4 Å over active-site residues and equivalent substrate atoms.

Kemp elimination catalysts by computational enzyme design.

The design of new enzymes for reactions not catalysed by naturally occurring biocatalysts is a challenge for protein engineering and is a critical test of our understanding of enzyme catalysis. Here we describe the computational design of eight enzymes that use two different catalytic motifs to catalyse the Kemp elimination-a model reaction for proton transfer from carbon-with measured rate enhancements of up to 10(5) and multiple turnovers. Mutational analysis confirms that catalysis depends on the computationally designed active sites, and a high-resolution crystal structure suggests that the designs have close to atomic accuracy.

De novo computational design of retro-aldol enzymes.

The creation of enzymes capable of catalyzing any desired chemical reaction is a grand challenge for computational protein design. Using new algorithms that rely on hashing techniques to construct active sites for multistep reactions, we designed retro-aldolases that use four different catalytic motifs to catalyze the breaking of a carbon-carbon bond in a nonnatural substrate. Of the 72 designs that were experimentally characterized, 32, spanning a range of protein folds, had detectable retro-aldolase activity.

New algorithms and an in silico benchmark for computational enzyme design.

The creation of novel enzymes capable of catalyzing any desired chemical reaction is a grand challenge for computational protein design. Here we describe two new algorithms for enzyme design that employ hashing techniques to allow searching through large numbers of protein scaffolds for optimal catalytic site placement. We also describe an in silico benchmark, based on the recapitulation of the active sites of native enzymes, that allows rapid evaluation and testing of enzyme design methodologies.

Investigation of the mechanism of resistance to third-generation cephalosporins by class C beta-lactamases by using chemical complementation.

The widespread use of antibiotics to treat bacterial infections has led to the continuing challenge of antibiotic resistance. For beta-lactam antibiotics, the most common form of resistance is the expression of beta-lactamase enzymes, which inactivate the antibiotics by cleavage of the beta-lactam core. In this study, chemical complementation, which is a general method to link the formation or cleavage of a chemical bond to the transcription of a reporter gene in vivo, was employed in combination with combinatorial mutagenesis to study the mechanism by which the class C beta-lactamase P99 might evolve resistance to the commonly administered third-generation cephalosporin cefotaxime.

Correlation between ligand-receptor affinity and the transcription readout in a yeast three-hybrid system.

The yeast two-hybrid assay has proven to be a powerful method to detect protein-protein interactions as well as to derive genome-wide protein interaction maps. More recently, three-hybrid assays have emerged as a means to detect both protein-RNA and protein-small molecule interactions. Despite the routine use of the two-hybrid assay and the potential of three-hybrid systems, there has been little quantitative characterization to understand how the strength of the protein interaction correlates with transcription activation.

Receptor-dependence of the transcription read-out in a small-molecule three-hybrid system.

Small-molecule three-hybrid systems show promise as an in vivo alternative to affinity chromatography for detecting small-molecule-protein interactions. While several three-hybrid systems have been reported, little has been done to characterize these systems and, in particular, to test the assumption that the protein-small-molecule interaction can be varied without disrupting the transcription read-out. Recently we reported a dexamethasone-methotrexate chemical inducer of dimerization (CID) for use in the yeast three-hybrid system, based on the well-studied ligand-receptor pairs dexamethasone (Dex)-glucocorticoid receptor (GR) and methotrexate (Mtx)-dihydrofolate reductase (DHFR).