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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 (kcat/Km) of ∼104 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 RP 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.

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Figure 1: Computational active site redesign.
Figure 2: Kinetic characterization of PT3 with DECP.
Figure 3: Spatial clustering of wild-type and activity-enhancing residues.
Figure 4: Design model and crystal structure of apoPT3.1.
Figure 5: PT3 variants stereo-selectively catalyze the hydrolysis of a cyclosarin analog.

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References

  1. Toscano, M.D., Woycechowsky, K.J. & Hilvert, D. Minimalist active-site redesign: teaching old enzymes new tricks. Angew. Chem. Int. Ed. Engl. 46, 3212–3236 (2007).

    Article  CAS  Google Scholar 

  2. Gerlt, J.A. & Babbitt, P.C. Enzyme (re)design: lessons from natural evolution and computation. Curr. Opin. Chem. Biol. 13, 10–18 (2009).

    Article  CAS  Google Scholar 

  3. Khersonsky, O. & Tawfik, D.S. Enzyme promiscuity: a mechanistic and evolutionary perspective. Annu. Rev. Biochem. 79, 471–505 (2010).

    Article  CAS  Google Scholar 

  4. Yin, de L.T. et al. Switching catalysis from hydrolysis to perhydrolysis in Pseudomonas fluorescens esterase. Biochemistry 49, 1931–1942 (2010).

    Article  CAS  Google Scholar 

  5. Terao, Y., Miyamoto, K. & Ohta, H. Introduction of single mutation changes arylmalonate decarboxylase to racemase. Chem. Commun. (Camb.) 2006, 3600–3602 (2006).

    Article  Google Scholar 

  6. Schmidt, D.M.Z. et al. Evolutionary potential of (β/α)8-barrels: functional promiscuity produced by single substitutions in the enolase superfamily. Biochemistry 42, 8387–8393 (2003).

    Article  CAS  Google Scholar 

  7. Leopoldseder, S., Claren, J., Jurgens, C. & Sterner, R. Interconverting the catalytic activities of (βα)8-barrel enzymes from different metabolic pathways: Sequence requirements and molecular analysis. J. Mol. Biol. 337, 871–879 (2004).

    Article  CAS  Google Scholar 

  8. Williams, S.D. & David, S.S. A single engineered point mutation in the adenine glycosylase MutY confers bifunctional glycosylase/AP lyase activity. Biochemistry 39, 10098–10109 (2000).

    Article  CAS  Google Scholar 

  9. Xiang, H., Luo, L.S., Taylor, K.L. & Dunaway-Mariano, D. Interchange of catalytic activity within the 2-enoyl-coenzyme A hydratase isomerase superfamily based on a common active site template. Biochemistry 38, 7638–7652 (1999).

    Article  CAS  Google Scholar 

  10. Park, H.S. et al. Design and evolution of new catalytic activity with an existing protein scaffold. Science 311, 535–538 (2006).

    Article  CAS  Google Scholar 

  11. Jochens, H. et al. Converting an esterase into an epoxide hydrolase. Angew. Chem. Int. Edn. Engl. 48, 3532–3535 (2009).

    Article  CAS  Google Scholar 

  12. Chen, B. et al. Morphing activity between structurally similar enzymes: from heme-free bromoperoxidase to lipase. Biochemistry 48, 11496–11504 (2009).

    Article  CAS  Google Scholar 

  13. Raushel, F.M. Chemical biology: catalytic detoxification. Nature 469, 310–311 (2011).

    Article  CAS  Google Scholar 

  14. Gupta, R.D. et al. Directed evolution of hydrolases for prevention of G-type nerve agent intoxication. Nat. Chem. Biol. 7, 120–125 (2011).

    Article  CAS  Google Scholar 

  15. Tsai, P.C. et al. Stereoselective hydrolysis of organophosphate nerve agents by the bacterial phosphotriesterase. Biochemistry 49, 7978–7987 (2010).

    Article  CAS  Google Scholar 

  16. Murphy, P.M., Bolduc, J.M., Gallaher, J.L., Stoddard, B.L. & Baker, D. Alteration of enzyme specificity by computational loop remodeling and design. Proc. Natl. Acad. Sci. USA 106, 9215–9220 (2009).

    Article  CAS  Google Scholar 

  17. Röthlisberger, D. et al. Kemp elimination catalysts by computational enzyme design. Nature 453, 190–195 (2008).

    Article  Google Scholar 

  18. Jiang, L. et al. De novo computational design of retro-aldol enzymes. Science 319, 1387–1391 (2008).

    Article  CAS  Google Scholar 

  19. Siegel, J.B. et al. Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction. Science 329, 309–313 (2010).

    Article  CAS  Google Scholar 

  20. Zanghellini, A. et al. New algorithms and an in silico benchmark for computational enzyme design. Protein Sci. 15, 2785–2794 (2006).

    Article  CAS  Google Scholar 

  21. McCall, K.A., Huang, C. & Fierke, C.A. Function and mechanism of zinc metalloenzymes. J. Nutr. 130, 1437S–1446S (2000).

    Article  CAS  Google Scholar 

  22. Aubert, S.D., Li, Y. & Raushel, F.M. Mechanism for the hydrolysis of organophosphates by the bacterial phosphotriesterase. Biochemistry 43, 5707–5715 (2004).

    Article  CAS  Google Scholar 

  23. Dyguda-Kazimierowicz, E., Sokalski, W.A. & Leszczynski, J. Gas-phase mechanisms of degradation of hazardous organophosphorus compounds: do they follow a common pattern of alkaline hydrolysis reaction as in phosphotriesterase? J. Phys. Chem. B 112, 9982–9991 (2008).

    Article  CAS  Google Scholar 

  24. Kuhlman, B. & Baker, D. Native protein sequences are close to optimal for their structures. Proc. Natl. Acad. Sci. USA 97, 10383–10388 (2000).

    Article  CAS  Google Scholar 

  25. Lawrence, M.C. & Colman, P.M. Shape complementarity at protein/protein interfaces. J. Mol. Biol. 234, 946–950 (1993).

    Article  CAS  Google Scholar 

  26. Davis, I.W. & Baker, D. RosettaLigand docking with full ligand and receptor flexibility. J. Mol. Biol. 385, 381–392 (2009).

    Article  CAS  Google Scholar 

  27. Wang, Z. & Quiocho, F.A. Complexes of adenosine deaminase with two potent inhibitors: X-ray structures in four independent molecules at pH of maximum activity. Biochemistry 37, 8314–8324 (1998).

    Article  CAS  Google Scholar 

  28. Pegg, S.C. et al. Leveraging enzyme structure-function relationships for functional inference and experimental design: the structure-function linkage database. Biochemistry 45, 2545–2555 (2006).

    Article  CAS  Google Scholar 

  29. Afriat, L., Roodveldt, C., Manco, G. & Tawfik, D.S. The latent promiscuity of newly identified microbial lactonases is linked to a recently diverged phosphotriesterase. Biochemistry 45, 13677–13686 (2006).

    Article  CAS  Google Scholar 

  30. Blum, M.M., Lohr, F., Richardt, A., Ruterjans, H. & Chen, J.C. Binding of a designed substrate analogue to diisopropyl fluorophosphatase: implications for the phosphotriesterase mechanism. J. Am. Chem. Soc. 128, 12750–12757 (2006).

    Article  CAS  Google Scholar 

  31. Baker, D. An exciting but challenging road ahead for computational enzyme design. Protein Sci. 19, 1817–1819 (2010).

    Article  CAS  Google Scholar 

  32. Kunkel, T.A. Rapid and efficient site-specific mutagenesis without phenotypic selection. Proc. Natl. Acad. Sci. USA 82, 488–492 (1985).

    Article  CAS  Google Scholar 

  33. Otwinowski, Z. & Minor, W. Processing of X-ray diffraction data collected in oscillation mode. Methods Enzymol. 276, 307–326 (1997).

    Article  CAS  Google Scholar 

  34. McCoy, A.J. et al. Phaser crystallographic software. J. Appl. Crystallogr. 40, 658–674 (2007).

    Article  CAS  Google Scholar 

  35. Winn, M.D., Murshudov, G.N. & Papiz, M.Z. Macromolecular TLS refinement in REFMAC at moderate resolutions. Methods Enzymol. 374, 300–321 (2003).

    Article  CAS  Google Scholar 

  36. Khersonsky, O. & Tawfik, D.S. Structure-reactivity studies of serum paraoxonase PON1 suggest that its native activity is lactonase. Biochemistry 44, 6371–6382 (2005).

    Article  CAS  Google Scholar 

  37. Ashani, Y. et al. Stereo-specific synthesis of analogs of nerve agents and their utilization for selection and characterization of paraoxonase (PON1) catalytic scavengers. Chem. Biol. Interact. 187, 362–369 (2010).

    Article  CAS  Google Scholar 

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Acknowledgements

We thank L. Nivon for assistance with liquid chromatography, O. Khersonsky (Weizmann Institute of Science) for providing substrates and J. Damborsky for comments on the manuscript. This work was supported by the Defense Advanced Research Projects Agency, the Defense Threat Reduction Agency and the Howard Hughes Medical Institute. P.J.G. was supported by Novo Nordisk Danmark-Amerika Fondet and Oticon Fonden.

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Contributions

S.D.K. developed the computational method for active site redesign, performed computational design and kinetic characterization of PT1–PT12, analyzed the data and wrote the paper. Y.K. designed and performed the directed evolution and library screening, wild-type activity measurements, substrate selectivity and inhibition experiments and analyzed the data and wrote the paper. P.J.G. implemented the computational redesign method, performed the computational design of PT1–PT12 and analyzed the data. R.T. determined the crystal structure of PT3.1. J.L.G. expressed and purified the designed proteins PT1–PT12. Y.S. performed pKa calculations. Y.A., M.G., I.S., H.L. and J.L.S. synthesized nerve agents and nerve agent analogues, screened these with PT3 and determined their stereoselectivity. B.L.S. performed structural analysis and wrote the paper. D.S.T. designed the experiments and analyzed the data. D.B. designed the computational method and the experiments, analyzed the data and wrote the paper.

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Correspondence to David Baker.

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Khare, S., Kipnis, Y., Greisen, P. et al. Computational redesign of a mononuclear zinc metalloenzyme for organophosphate hydrolysis. Nat Chem Biol 8, 294–300 (2012). https://doi.org/10.1038/nchembio.777

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