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Computational redesign of a mononuclear zinc metalloenzyme for organophosphate hydrolysis.

ABSTRACT: The ability to redesign enzymes to catalyze noncognate chemical transformations would have wide-ranging applications. We developed a computational method for repurposing the reactivity of metalloenzyme active site functional groups to catalyze new reactions. Using this method, we engineered a zinc-containing mouse adenosine deaminase to catalyze the hydrolysis of a model organophosphate with a catalytic efficiency (k(cat)/K(m)) of ~10(4) M(-1) s(-1) after directed evolution. In the high-resolution crystal structure of the enzyme, all but one of the designed residues adopt the designed conformation. The designed enzyme efficiently catalyzes the hydrolysis of the R(P) isomer of a coumarinyl analog of the nerve agent cyclosarin, and it shows marked substrate selectivity for coumarinyl leaving groups. Computational redesign of native enzyme active sites complements directed evolution methods and offers a general approach for exploring their untapped catalytic potential for new reactivities.

SUBMITTER: Khare SD

PROVIDER: S-EPMC3957331 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature

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Computational redesign of a mononuclear zinc metalloenzyme for organophosphate hydrolysis.

Khare Sagar D SD Kipnis Yakov Y Greisen Per P Takeuchi Ryo R Ashani Yacov Y Goldsmith Moshe M Song Yifan Y Gallaher Jasmine L JL Silman Israel I Leader Haim H Sussman Joel L JL Stoddard Barry L BL Tawfik Dan S DS Baker David D

Nature chemical biology 20120205 3

The ability to redesign enzymes to catalyze noncognate chemical transformations would have wide-ranging applications. We developed a computational method for repurposing the reactivity of metalloenzyme active site functional groups to catalyze new reactions. Using this method, we engineered a zinc-containing mouse adenosine deaminase to catalyze the hydrolysis of a model organophosphate with a catalytic efficiency (k(cat)/K(m)) of ~10(4) M(-1) s(-1) after directed evolution. In the high-resoluti ...[more]

PMID: 22306579

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Project description:The enzyme N(1)-(5'-phosphoribosyl) adenosine-5'-monophosphate cyclohydrolase (PR-AMP cyclohydrolase) is a Zn(2+) metalloprotein encoded by the hisI gene. It catalyzes the third step of histidine biosynthesis, an uncommon ring-opening of a purine heterocycle for use in primary metabolism. A three-dimensional structure of the enzyme from Methanobacterium thermoautotrophicum has revealed that three conserved cysteine residues occur at the dimer interface and likely form the catalytic site. To investigate the functions of these cysteines in the enzyme from Methanococcus vannielii, a series of biochemical studies were pursued to test the basic hypothesis regarding their roles in catalysis. Inactivation of the enzyme activity by methyl methane thiosulfonate (MMTS) or 5,5'-dithiobis(2-nitrobenzoic acid) (DTNB) also compromised the Zn(2+) binding properties of the protein inducing loss of up to 90% of the metal. Overall reaction stoichiometry and the potassium cyanide (KCN) induced cleavage of the protein suggested that all three cysteines were modified in the process. The enzyme was protected from DTNB-induced inactivation by inclusion of the substrate N(1)-(5'-phosphoribosyl)adenosine 5'-monophosphate; (PR-AMP), while Mg(2+), a metal required for catalytic activity, enhanced the rate of inactivation. Site-directed mutations of the conserved C93, C109, C116 and the double mutant C109/C116 were prepared and analyzed for catalytic activity, Zn(2+) content, and reactivity with DTNB. Substitution of alanine for each of the conserved cysteines showed no measurable catalytic activity, and only the C116A was still capable of binding Zn(2+). Reactions of DTNB with the C109A/C116A double mutant showed that C93 is completely modified within 0.5 s. A model consistent with these data involves a DTNB-induced mixed disulfide linkage between C93 and C109 or C116, followed by ejection of the active site Zn(2+) and provides further evidence that the Zn(2+) coordination site involves the three conserved cysteine residues. The C93 reactivity is modulated by the presence of the Zn(2+) and Mg(2+) and substantiates the role of this residue as a metal ligand. In addition, Mg(2+) ligand binding site(s) indicated by the structural analysis were probed by site-directed mutagenesis of three key aspartate residues flanking the conserved C93 which were shown to have a functional impact on catalysis, cysteine activation, and metal (zinc) binding capacity. The unique amino acid sequence, the dynamic properties of the cysteine ligands involved in Zn(2+) coordination, and the requirement for a second metal (Mg(2+)) are discussed in the context of their roles in catalysis. The results are consistent with a Zn(2+)-mediated activation of H(2)O mechanism involving histidine as a general base that has features similar to but distinct from those of previously characterized purine and pyrimidine deaminases.

Project description:Motivation:Disruption of protein-protein interactions can mitigate antibody recognition of therapeutic proteins, yield monomeric forms of oligomeric proteins, and elucidate signaling mechanisms, among other applications. While designing affinity-enhancing mutations remains generally quite challenging, both statistically and physically based computational methods can precisely identify affinity-reducing mutations. In order to leverage this ability to design variants of a target protein with disrupted interactions, we developed the DisruPPI protein design method (DISRUpting Protein-Protein Interactions) to optimize combinations of mutations simultaneously for both disruption and stability, so that incorporated disruptive mutations do not inadvertently affect the target protein adversely. Results:Two existing methods for predicting mutational effects on binding, FoldX and INT5, were demonstrated to be quite precise in selecting disruptive mutations from the SKEMPI and AB-Bind databases of experimentally determined changes in binding free energy. DisruPPI was implemented to use an INT5-based disruption score integrated with an AMBER-based stability assessment and was applied to disrupt protein interactions in a set of different targets representing diverse applications. In retrospective evaluation with three different case studies, comparison of DisruPPI-designed variants to published experimental data showed that DisruPPI was able to identify more diverse interaction-disrupting and stability-preserving variants more efficiently and effectively than previous approaches. In prospective application to an interaction between enhanced green fluorescent protein (EGFP) and a nanobody, DisruPPI was used to design five EGFP variants, all of which were shown to have significantly reduced nanobody binding while maintaining function and thermostability. This demonstrates that DisruPPI may be readily utilized for effective removal of known epitopes of therapeutically relevant proteins. Availability and implementation:DisruPPI is implemented in the EpiSweep package, freely available under an academic use license. Supplementary information:Supplementary data are available at Bioinformatics online.

Dataset Information

Computational redesign of a mononuclear zinc metalloenzyme for organophosphate hydrolysis.

Publications

Computational redesign of a mononuclear zinc metalloenzyme for organophosphate hydrolysis.

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