research papers\(\def\hfill{\hskip 5em}\def\hfil{\hskip 3em}\def\eqno#1{\hfil {#1}}\)

IUCrJ
Volume 8| Part 4| July 2021| Pages 684-694
ISSN: 2052-2525

Characterization of high-H2O2-tolerant bacterial cytochrome P450 CYP105D18: insights into papaverine N-oxidation

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aDepartment of Life Science and Biochemical Engineering, Graduate School, SunMoon University, Asan 31460, Republic of Korea, bResearch Unit of Cryogenic Novel Material, Korea Polar Research Institute, 26, Songdomirae-ro, Yeonsu-gu, Incheon 21990, Republic of Korea, cDepartment of Polar Sciences, University of Science and Technology, Incheon 21990, Republic of Korea, dGenome-based BioIT Convergence Institute, Asan 31460, Republic of Korea, and eDepartment of Pharmaceutical Engineering and Biotechnology, SunMoon University, Asan 31460, Republic of Korea
*Correspondence e-mail: junhyucklee@kopri.re.kr, tjoh3782@sunmoon.ac.kr

Edited by J. L. Smith, University of Michigan, USA (Received 28 January 2021; accepted 28 May 2021; online 29 June 2021)

The bacterial CYP105 family is involved in secondary metabolite biosynthetic pathways and plays essential roles in the biotransformation of xenobiotics. This study investigates the newly identified H2O2-mediated CYP105D18 from Streptomyces laurentii as the first bacterial CYP for N-oxidation. The catalytic efficiency of CYP105D18 for papaverine N-oxidation was 1.43 s−1 µM−1. The heme oxidation rate (k) was low (<0.3 min−1) in the presence of 200 mM H2O2. This high H2O2 tolerance capacity of CYP105D18 led to higher turnover prior to heme oxidation. Additionally, the high-resolution papaverine complexed structure and substrate-free structure of CYP105D18 were determined. Structural analysis and activity assay results revealed that CYP105D18 had a strong substrate preference for papaverine because of its bendable structure. These findings establish a basis for biotechnological applications of CYP105D18 in the pharmaceutical and medicinal industries.

1. Introduction

Cytochrome P450 (CYP) enzymes comprise a large superfamily of heme b-containing enzymes expressed in a variety of species. These enzymes catalyze diverse reactions, including hy­droxy­lation, alcohol and carbonyl oxidation, epoxidation, de­methyl­ation, N-oxidation, ring cleavage, coupling, and formation of a vast number of endogenous and exogenous compounds, such as steroids, fatty acids, xenobiotics and other drugs (Isin & Guengerich, 2007[Isin, E. M. & Guengerich, F. P. (2007). Biochim. Biophys. Acta, 1770, 314-329.]). CYPs are involved in regio- and stereo-specific reactions with substrate flexibility, making them suitable targets for biotechnological applications (Cia­ramella et al., 2020[Ciaramella, A., Catucci, G., Di Nardo, G., Sadeghi, S. J. & Gilardi, G. (2020). New Biotechnol. 54, 71-79.]). The complex mechanism of CYP reactions involves specific redox partners and costly cofactors, thereby limiting the broad utility of CYPs in nature. However, some CYP monooxygenases and per­oxy­genases support the shunt pathway using an oxygen surrogate system such as hydrogen peroxide (H2O2) and organic surrogates such as cumene hydro­peroxide or iodo­syl­benzene for efficient catalysis of different substrates (Wei et al., 2019[Wei, X., Zhang, C., Gao, X., Gao, Y., Yang, Y., Guo, K., Du, X., Pu, L. & Wang, Q. (2019). ChemistryOpen, 8, 1076-1083.]; Munro et al., 2018[Munro, A. W., McLean, K. J., Grant, J. L. & Makris, T. M. (2018). Biochem. Soc. Trans. 46, 183-196.]). Implementation of this system may be economically viable, with some P450s evolving to use H2O2, but is typically inefficient and may lead to heme oxidation and enzyme destabilization or inactivation (Ciaramella et al., 2020[Ciaramella, A., Catucci, G., Di Nardo, G., Sadeghi, S. J. & Gilardi, G. (2020). New Biotechnol. 54, 71-79.]; Munro et al., 2018[Munro, A. W., McLean, K. J., Grant, J. L. & Makris, T. M. (2018). Biochem. Soc. Trans. 46, 183-196.]). In addition, the shape and size of the substrate-binding pocket may hinder the formation of highly reactive compounds using the shunt pathway for efficient catalysis (Ciaramella et al., 2020[Ciaramella, A., Catucci, G., Di Nardo, G., Sadeghi, S. J. & Gilardi, G. (2020). New Biotechnol. 54, 71-79.]; Wei et al., 2019[Wei, X., Zhang, C., Gao, X., Gao, Y., Yang, Y., Guo, K., Du, X., Pu, L. & Wang, Q. (2019). ChemistryOpen, 8, 1076-1083.]).

The general ability of CYPs to utilize H2O2 has been demonstrated for many human CYPs and bacterial CYPs. Human CYP1A2 supports H2O2 shunting for efficient oxidation of aromatic amines (Anari et al., 1997[Anari, M. R., Josephy, P. D., Henry, T. & O'Brien, P. J. (1997). Chem. Res. Toxicol. 10, 582-588.]), and CYP3A4 and CYP2D6 can convert pinacidil (a vasodilator drug) into its corresponding amine using H2O2 (Zhang et al., 2002[Zhang, Z., Li, Y., Stearns, R. A., Ortiz de Montellano, P. R., Baillie, T. A. & Tang, W. (2002). Biochemistry, 41, 2712-2718.]). The major human drug-metabolizing CYPs, i.e. CYP2C9, CYP2C19, CYP2D6 and CYP1A2, can also support different oxygen surrogate systems, and their catalysis function is based on the various substrates used (Strohmaier et al., 2020[Strohmaier, S. J., De Voss, J. J., Jurva, U., Andersson, S. & Gillam, E. M. J. (2020). Drug Metab. Dispos. 48, 432-437.]). Typically, members of the bacterial CYP152 family, including P450BSβ, P450SPα and OleTJe, have been shown to utilize H2O2 for efficient fatty acid hy­droxy­lation (Munro et al., 2018[Munro, A. W., McLean, K. J., Grant, J. L. & Makris, T. M. (2018). Biochem. Soc. Trans. 46, 183-196.]).

Papaverine, an iso­quinoline alkaloid present in opium, causes smooth muscle relaxation and has been used to treat vasospasm. Moreover, papaverine has been administered as an alternative to nonsteroidal anti-inflammatory drugs in some patients to treat renal colic pain, migraine headaches, schizophrenia, cancers and even viral infections (Shen et al., 2019[Shen, C., Zhao, W., Liu, X. & Liu, J. (2019). Biotechnol. Lett. 41, 171-180.]; Aggarwal et al., 2020[Aggarwal, M., Leser, G. P. & Lamb, R. A. (2020). J. Virol. 94, e01888-19.]). Despite the medicinal importance of papaverine, this compound has many adverse effects. However, modified papaverine may have better efficacy and reduced cytotoxicity and can easily be metabolized by the body. Chemical modification of papaverine for C—H functionalization, N-oxidation (Egbewande et al., 2019[Egbewande, F. A., Coster, M. J., Jenkins, I. D. & Davis, R. A. (2019). Molecules, 24, 3938.]) and O-de­methyl­ation has been reported (Brossi & Teitel, 1970[Brossi, A. & Teitel, S. (1970). J. Org. Chem. 35, 1684-1687.]). These classical approaches are time-consuming and costly and may suffer from poor regio-selectivity compared with enzyme-catalyzed reactions. Shen et al. (2019[Shen, C., Zhao, W., Liu, X. & Liu, J. (2019). Biotechnol. Lett. 41, 171-180.]) reported an efficient biocatalyst, CYP105D1, for the 6-O-de­methyl­ation of papaverine.

The CYP105 family is involved in biosynthetic pathways of secondary metabolites and biotransformation of xenobiotic compounds. For example, CYP105D7 from Streptomyces avermitilis catalyzes the hydration of 1-de­oxy­pentalenic acid at the C1 position, isoflavone and daidzein at the 3 position and diclofenac at the C4′ position (Takamatsu et al., 2011[Takamatsu, S., Xu, L. H., Fushinobu, S., Shoun, H., Komatsu, M., Cane, D. E. & Ikeda, H. (2011). J. Antibiot. 64, 65-71.]; Pandey et al., 2010[Pandey, B. P., Roh, C. H., Choi, K. Y., Lee, N. H., Kim, E. J., Ko, S. G., Kim, T. J., Yun, H. D. & Kim, B. G. (2010). Biotechnol. Bioeng. 105, 697-704.]; Xu et al., 2015[Xu, L. H., Ikeda, H., Liu, L., Arakawa, T., Wakagi, T., Shoun, H. & Fushinobu, S. (2015). Appl. Microbiol. Biotechnol. 99, 3081-3091.]). Additionally, CYP105A1 from Streptomyces griseous converts vitamin D3 (VD3) to 1,25-di­hydroxy vitamin D3, a hormonally active form, via two sequential hy­droxy­lations (O'Keefe et al., 1988[O'Keefe, D. P., Romesser, J. A. & Leto, K. J. (1988). Arch. Microbiol. 149, 406-412.]; Hayashi et al., 2008[Hayashi, K., Sugimoto, H., Shinkyo, R., Yamada, M., Ikeda, S., Ikushiro, S., Kamakura, M., Shiro, Y. & Sakaki, T. (2008). Biochemistry, 47, 11964-11972.]). CYP105P1 and CYP105D6 are also involved in the biosynthesis of filipin (Xu et al., 2010[Xu, L. H., Fushinobu, S., Takamatsu, S., Wakagi, T., Ikeda, H. & Shoun, H. (2010). J. Biol. Chem. 285, 16844-16853.]). Although the CYP105 family has diverse functions, all members share a common CYP structure within a relative mean squared deviation of 2 Å, indicating that further close structural investigation is required to determine the regio- and/or stereo-specific substrate recognition and chemistry (Lee et al., 2016[Lee, C. W., Yu, S. C., Lee, J. H., Park, S. H., Park, H., Oh, T. J. & Lee, J. H. (2016). Int. J. Mol. Sci. 17, 2067.]).

In this study, we aimed to determine biochemical and structural information for proteins in the CYP105 family. We studied CYP, annotated as CYP105D18, from Streptomyces laurentii. We also determined the substrate-free and papaverine-complexed crystal structures of CYP105D18 at resolutions of 1.7 and 2.0 Å, respectively. To the best of our knowledge, this is the first report of an N-oxidation reaction using bacterial CYP.

2. Results and discussion

2.1. Functional characterization of CYP105D18

Phylogenetic tree analysis of CYP105D18 revealed that it had the closest relationships with functionally characterized CYP105D7 (71.1%) and CYP105D1 (64.9%; Fig. S1 of the supporting information). CYP105D1 was well characterized for biotransformation of iso­quinoline alkaloids (Shen et al., 2019[Shen, C., Zhao, W., Liu, X. & Liu, J. (2019). Biotechnol. Lett. 41, 171-180.]). So, we speculated that this protein is involved in the biotransformation of different iso­quinoline alkaloids (e.g. papaverine, THP, berberine and palmatine). CYP105D18 was cloned, overexpressed and purified. The theoretical molecular weight was 44.3 kDa, and a single band at ∼50 kDa (with a His-tag from pET28) was obtained by sodium do­decyl sulfate-polyacryl­amide gel electrophoresis [Fig. 1[link](a)]. Purified CYP105D18 showed a Soret peak at 418 nm in an oxidized form. The carbon-monoxide-bound and di­thio­nite-reduced form of CYP105D18 exhibited maximum absorption at a wavelength of 449 nm, one of the important spectral characteristics of CYP450 [Fig. 1[link](b)]. The purity of a CYP can be evaluated from its Rz value, calculated as the ratio of absorbance (A) at λmax of the Soret band to the A value at 280 nm. The purified enzyme had an Rz value of 1.45, indicating high purity (Lee et al., 2016[Lee, C. W., Yu, S. C., Lee, J. H., Park, S. H., Park, H., Oh, T. J. & Lee, J. H. (2016). Int. J. Mol. Sci. 17, 2067.]). The redox partner proteins Pdx and PdR were expressed and purified to single bands corresponding to 11.4 and 45.6 kDa, respectively (Fig. S2). The four iso­quinoline alkaloids with different structures (listed in Fig. S3) were screened for in vitro biotransformation by CYP105D18. There was no in vitro biotransformation by CYP105D18 for papaverine, palmatine, THP or berberine using the redox partners Pdx/PdR from the P450cam system and/or spinach Fdx/FdR (data not shown). CYP105D18 supported the N-oxidation of papaverine and hy­droxy­lation of tetra­hydro­palmatine using the oxygen surrogate H2O2. High-performance liquid chromatography (HPLC) analysis of papaverine revealed product formation at a retention time of 18.2 min, equivalent to hy­droxy­lation/N-oxidation in liquid chromatography-mass spectrometry (LC-MS) analysis [Fig. 2[link](a)]. The HPLC results showed an additional peak at a retention time of 22.2 min, which could not be identified because of the poor degree of ionization by LC-electrospray ionization-MS. The major product was purified and characterized by nuclear magnetic resonance analysis as papaverine N-oxide (Fig. S4). Similarly, the tetra­hydro­palmatine product catalyzed by CYP105D18 in the presence of H2O2 showed a single peak at a retention time of 13.5 min in the HPLC analysis [Fig. 2[link](b)]. The LC-MS data revealed the mono-hy­droxy­lation (mass, 372.179 g mol−1) of tetra­hydro­palmatine. The maximum product conversion for tetra­hydro­palmatine under optimum conditions was less than 12%; therefore, we did not purify the product for structural analysis. The results showed no support from H2O2 as an oxygen surrogate partner for biotransformation of berberine and palmatine by CYP105D18.

[Figure 1]
Figure 1
(a) Sodium do­decyl sulfate-polyacryl­amide gel electrophoresis analysis of the purification of CYP105D18 [1, crude extract; 2, insoluble fraction; 3, marker (kDa); 4, 10 mM imidazole fraction; 5, 100 mM first fraction; 6, 100 mM second fraction and 7, 500 mM imidazole fraction]. The 100 mM imidazole second fraction (sample 6) was concentrated for in vitro reaction. The molecular weight of CYP105D18 is 44.3 kDa, and the protein was overexpressed using the pET28 vector in the C41 host. (b) Di­thio­nite reduced the CO-bound form of CYP105D18.
[Figure 2]
Figure 2
HPLC chromatogram and LC-MS spectra (inside the box) for (a) papaverine and (b) tetra­hydro­palmatine. The reaction (above) was performed with 400 µM substrate and 3 µM CYP105D18 in the presence of 40 mM H2O2 for 1 h. A similar reaction condition was used for the control (below), with the use of 3 µM heat-deactivated CYP105D18 (positive control) and without the CYP105D18 (negative control). The positive and negative controls showed a similar HPLC chromatogram without any product formation.

To support the in vitro biotransformation of papaverine by CYP105D18, we performed the substrate-binding experiment. Among the four substrates, only papaverine induced the spectral shift, which was at 422 nm (Fig. S5). Even though THP was catalyzed by CYP105D18 using H2O2 as co-substrate, there was no spin-shift observed. The binding of 4-(pyridine-3-yl) benzoic acid and 4-(pyridine-2-yl) benzoic acid to CYP199A4 exhibits type II UV–vis spectral changes showing a greater shift in the Soret wavelength (422 versus 424 nm) (Podgorski et al., 2020[Podgorski, M. N., Harbort, J. S., Coleman, T., Stok, J. E., Yorke, J. A., Wong, L. L., Bruning, J. B., Bernhardt, P. V., De Voss, J. J., Harmer, J. R. & Bell, S. G. (2020). Biochemistry, 59, 1038-1050.]). Papaverine was also modified in the pyridine ring (N-oxidation) by CYP105D18 and exhibits a similar pattern of spectral shift at 422 nm. In addition, there was a spectral difference in the δ band between substrate-bound and unbound forms. Papaverine-bound spectra showed a Soret band at 322 nm, which was not observed in the binding of 4-(pyridine-3-yl) benzoic acid and 4-(pyridine-2-yl) benzoic acid to CYP199A4 (Podgorski et al., 2020[Podgorski, M. N., Harbort, J. S., Coleman, T., Stok, J. E., Yorke, J. A., Wong, L. L., Bruning, J. B., Bernhardt, P. V., De Voss, J. J., Harmer, J. R. & Bell, S. G. (2020). Biochemistry, 59, 1038-1050.]).

This is the first report of N-oxidation of a compound by bacterial CYP. However, human CYP has been reported to catalyze the N-oxidation of drugs during drug modification by liver microsomes. CYP2E1 is the main microsomal enzyme involved in the N-oxidation of nicotinamide (Real et al., 2013[Real, A. M., Hong, S. & Pissios, P. (2013). Drug Metab. Dispos. 41, 550-553.]), and CYP2C9, CYP2C19 and CYP3A4 exhibit different affinities for N-oxidation of the antifungal drug voriconazole during its metabolism in liver microsomes (Hyland et al., 2003[Hyland, R., Jones, B. C. & Smith, D. A. (2003). Drug Metab. Dispos. 31, 540-547.]). In addition, the fungal aromatic per­oxy­genase (AaP) was reported to catalyze the N-oxygenation of pyridine and related compounds (Ullrich et al., 2008[Ullrich, R., Dolge, C., Kluge, M. & Hofrichter, M. (2008). FEBS Lett. 582, 4100-4106.]). Nitro­gen-rich heterocyclic compounds are used to treat various human diseases, and these motifs are found in many iso­quinoline alkaloid drugs (Egbewande et al., 2019[Egbewande, F. A., Coster, M. J., Jenkins, I. D. & Davis, R. A. (2019). Molecules, 24, 3938.]). The N-oxide derivatives of iso­quinoline alkaloids are structurally and functionally related to the original compound and are reported to have good pharmacological properties (Dembitsky et al., 2015[Dembitsky, V. M., Gloriozova, T. A. & Poroikov, V. V. (2015). Phytomedicine, 22, 183-202.]). Bremner & Wiriyachitra (1973[Bremner, J. B. & Wiriyachitra, P. (1973). Aust. J. Chem. 26, 437-442.]) reported the chemical synthesis of papaverine N-oxide from papaverine using chloro­form and m-chloro­perbenzoic acid. The photochemical synthesis of papaverine N-oxide was reported by Girreser et al. (2003[Girreser, U., Hermann, T. W. & Piotrowska, K. (2003). Arch. Pharm. Pharm. Med. Chem. 336, 401-405.]). However, chemical and photochemical methods are time-consuming and exhibit poor yields, as reported previously. For example, papaverine was treated with aqueous H2O2 at 70°C for up to 10 h to produce papaverine N-oxide (Girreser et al., 2003[Girreser, U., Hermann, T. W. & Piotrowska, K. (2003). Arch. Pharm. Pharm. Med. Chem. 336, 401-405.]). In contrast, we showed that CYP105D18, in the presence of a stoichiometric amount of H2O2, efficiently transformed papaverine to papaverine N-oxide, providing important insight into chemical methods.

2.2. H2O2 stability for CYP105D18 and optimization for papaverine N-oxidation

Only H2O2 supported CYP105D18-dependent N-oxidation of papaverine; therefore, we analyzed the oxidative degradation of heme under different concentrations of H2O2 (0.1–200 mM). Unexpectedly, the rate constant `k' was low, even in the presence of higher concentrations of H2O2, suggesting the high tolerance capacity of CYP105D18 for H2O2 (Table 1[link]). The decrease in Soret absorbance at 417 nm 90 s after treatment with 0.1–200 mM H2O2 for 30 min is shown in Figs. 3[link](a)–3(g). The well established P450 per­oxy­genase P450s SPα (CYP152B1 from Sphingomonas paucimobilis), BSβ (CYP152A1 from Bacillus subtilis) and OleT (CYP152L1 from Jeotgalicoccus sp.) have been reported to replace the acid–alcohol amino acid pair, which is used for proton relay to iron–oxo species to facilitate the catalytic cycle (Munro et al., 2018[Munro, A. W., McLean, K. J., Grant, J. L. & Makris, T. M. (2018). Biochem. Soc. Trans. 46, 183-196.]). General CYPs with conserved acid–alcohol pairs (i.e. BM3, CYP15B1 and CYP121A1) have also been reported to utilize H2O2. The steroid hy­droxy­lase CYP154C8 surprisingly functioned in the presence of a high concentration of H2O2, as reported in our previous work (Dangi et al., 2018[Dangi, B., Park, H. & Oh, T. J. (2018). ChemBioChem, 19, 2273-2282.]). The stability of heme also plays a crucial role in the efficient catalysis of the CYP. For example, P450116B5hd showed higher tolerance than P450BMP (Ciaramella et al., 2020[Ciaramella, A., Catucci, G., Di Nardo, G., Sadeghi, S. J. & Gilardi, G. (2020). New Biotechnol. 54, 71-79.]). Here, we report the first CYP105 subfamily enzyme showing tolerance for H2O2. Indeed, CYP105D18 was found to utilize H2O2 for efficient N-oxidation of papaverine with high stabil­ity. The heme oxidation rate constant k was lower than those of the steroid hy­droxy­lases CYP154C8, CYP152L1 and P450116B5hd. The heme dissociation rate constant was less than 0.3 min−1, even in the presence of 200 mM H2O2. Enzymes with high stability in the presence of H2O2 may exhibit more frequent turnover before definitive heme oxidation.

Table 1
Rates of heme oxidation (k) for CYP105D18 in the presence of different H2O2 concentrations and comparisons with available literature

ND: not detected. NP: not performed.

H2O2 conc. (mM) CYP105D18 (k value, min−1) CYP154C8 (Dangi et al., 2018[Dangi, B., Park, H. & Oh, T. J. (2018). ChemBioChem, 19, 2273-2282.]) (k value, min−1) P450116B5hd (Ciaramella et al., 2020[Ciaramella, A., Catucci, G., Di Nardo, G., Sadeghi, S. J. & Gilardi, G. (2020). New Biotechnol. 54, 71-79.]) (k value, s−1)
1 ND NP ND
2 ND NP 0.0024
3 ND 0.075 0.0034
4 ND NP 0.0042
5 0.001 0.020 0.0051
10 0.003 NP NP
20 0.004 0.120 NP
50 0.014 0.180 NP
75 0.090 0.510 NP
100 0.110 0.180 NP
200 0.230 NP NP
[Figure 3]
Figure 3
Heme oxidation pattern of CYP105D18 in the presence of different concentrations of H2O2. (a) 1 mM, (b) 5 mM, (c) 10 mM, (d) 20 mM, (e) 40 mM, (f) 100 mM and (g) 200 mM H2O2. The concentration of CYP was fixed at 3 µM. The decrease in the Soret peak (417 nm) was measured at 90 s intervals for 30 min. Optimization of H2O2 concentrations for in vitro papaverine N-oxidation by CYP105D18 (h). The reaction conditions were as follows: 3 µM CYP, 400 µM substrate and 5–800 mM H2O2. The means and standard deviations were obtained from three independent reactions with similar conditions.

The heme oxidation rate k was low, even in the presence of high concentrations of H2O2. The conversion of papaverine to papaverine N-oxide by 3 µM CYP105D18 with different H2O2 concentrations is shown in Fig. 3[link](h). A product conversion rate of 70% was observed with 5 mM H2O2. The product conversion was more than 95% between 40 and 200 mM H2O2. The heme dissociation constant was less than 0.014 min−1, and product conversion was greater than 97% using 40 mM H2O2 within 30 min. Therefore, 40 mM H2O2 was used as the optimum concentration to evaluate the enzyme kinetics. The product conversion decreased sharply when the the H2O2 concentration was greater than 200 mM, and more than 10% conversion was observed in the presence of 800 mM H2O2.

Time-dependent in vitro conversion of papaverine N-oxide by CYP105D18 is shown in Fig. 4[link](a). The Km and kcat values for papaverine were estimated to be 213 ± 26 µM and 5 ± 0.3 min−1, respectively [Fig. 4[link](b)]. Similarly, Km and kcat values for tetra­hydro­palmatine were 75 ± 15 µM and 0.13 ± 0.01 min−1, respectively [Fig. 4[link](c)]. The catalytic efficiency (kcat/Km) for papaverine was much higher (1.43 s−1 µM−1) in comparison with tetra­hydro­palmatine (0.11 s −1 µM−1).

[Figure 4]
Figure 4
(a) Time-dependent conversion of papaverine to papaverine N-oxide. Conversion was measured every 5 min for 1 h using 1 µM CYP. The reactions were initiated by 40 mM H2O2. (b) Hyperbolic fit for papaverine N-oxide. (c) Hyperbolic fit for tetra­hydro­palmatine (THP). Average Km and kcat values were calculated with standard deviations from three independent experiments performed under similar conditions.

2.3. Overall substrate-free structure of CYP105D18

Structural investigation of CYP105D18 was conducted to obtain detailed structural information related to the active site. Crystallization experiments for full-length CYP105D18 yielded crystals in the space group C2 diffracting to 1.7 Å. A final model was obtained with R factor and Rfree values of 0.16 and 0.21, respectively, and a Molprobity score of 1.48 (Williams et al., 2018[Williams, C. J., Headd, J. J., Moriarty, N. W., Prisant, M. G., Videau, L. L., Deis, L. N., Verma, V., Keedy, D. A., Hintze, B. J., Chen, V. B., Jain, S., Lewis, S. M., Arendall, W. B., Snoeyink, J., Adams, P. D., Lovell, S. C., Richardson, J. S. & Richardson, D. C. (2018). Protein Sci. 27, 293-315.]). A Ramachandran plot analysis of the refined model showed that 96.55 and 0% of non-glycine residues were in favored regions and outliers, respectively. The final model of CYP105D18 exhibited electron density for most of the molecule, except for the N-terminus (amino acids 1–3) and a loop containing residues 73–85, which connected αB and αC [dotted line in Fig. 5[link](a)]. The asymmetric unit had one molecule of CYP105D18. Consistent with this observation, size exclusion chromatography analysis of CYP105D18 revealed that the protein existed as a monomer in solution (Fig. S6). The coordinates were deposited in the Protein Data Bank under entry 7di3 (substrate-free structure). Data collection and refinement statistics are summarized in Table S4 of the supporting information.

[Figure 5]
Figure 5
(a) Ribbon diagram of the CYP105D18 structure. Rainbow coloring from blue to red indicates the N- to C-terminal positions of residues in the model. The right panel is rotated by 90° relative to the left panel, such that the side of the substrate-binding funnel in the right panel orients toward the reader in the left panel. The nomenclature of the secondary helices and β-sheets was chosen from previous studies. (b) Multiple sequence alignment with other homologous CYPs. CYP105D18 from S. laurentii, CYP105D7 and CYP105D6/PteD from Streptomyces sp., CYP105D6 from S. avermitilis, CYP105N1 from S. coelicolor, CYP105A1 from S. griseolus, CYP105AB3 from Nonomuraea recticatena, GfsF from S. gramino­faciens, CYP105AS1 from Amycolatopsis orientalis, and CYP105P1 from S. avermitilis. Secondary structural elements are shown above the aligned sequences and colored according to the scheme in Fig. 5[link](a). Regions for the active site are marked with orange sticks, and conserved residues at the B/C loop and turn of αF–αG are marked by red circles.

As observed in the structures of the CYP105 family, CYP105D18 can be divided into two units: β-sheet-containing units and helix-rich units composed of helices αC–αJ [Fig. 5[link](a)]. A long αI was located in the middle between the two units and connected two units. CYP105D18 contained a heme surrounded by loops from the β-sheet-containing unit and αC, αI and αL from the helix-rich unit. The last C-terminus long loop starting from Lue366 covered the concave active site. As shown in the phylogenetic tree, CYP105D18 had the highest homology with the CYP105D subfamily, including CYP105D4, CYP105D7, CYP105D8 and CYP105D1. Consistent with this, structural similarities generated from the DALI server (https://ekhidna2.biocenter.helsinki.fi/dali/) showed high similarity with structures of CYP105D7 and CYP105D6 (PetD) from S. avermitilis (Z-scores: 53.7 and 53.0, respectively; Table 2[link]) (Xu et al., 2015[Xu, L. H., Ikeda, H., Liu, L., Arakawa, T., Wakagi, T., Shoun, H. & Fushinobu, S. (2015). Appl. Microbiol. Biotechnol. 99, 3081-3091.], 2010[Xu, L. H., Fushinobu, S., Takamatsu, S., Wakagi, T., Ikeda, H. & Shoun, H. (2010). J. Biol. Chem. 285, 16844-16853.]).

Table 2
Structural homolog search results for CYP105D18 from a DALI search (DALI-Lite server)

CYP annotation/protein PDB entry DALI Z-score UniProtKB code Sequence % entry with CYP105D18 (aligned residue number) Reference
CYP105D7 4ubs 53.7 Q825I8 69 (377/393) (Xu et al., 2015[Xu, L. H., Ikeda, H., Liu, L., Arakawa, T., Wakagi, T., Shoun, H. & Fushinobu, S. (2015). Appl. Microbiol. Biotechnol. 99, 3081-3091.])
CYP105D6/PteD 3abb 53.0 Q93H80 57 (376/383) (Xu et al., 2010[Xu, L. H., Fushinobu, S., Takamatsu, S., Wakagi, T., Ikeda, H. & Shoun, H. (2010). J. Biol. Chem. 285, 16844-16853.])
CYP105AB3/MoxA 2z36 52.3 Q2L6S8 50 (381/403) (Miyanaga et al., 2017[Miyanaga, A., Takayanagi, R., Furuya, T., Kawamata, A., Itagaki, T., Iwabuchi, Y., Kanoh, N., Kudo, F. & Eguchi, T. (2017). ChemBioChem, 18, 2179-2187.])
GfsF 5y1i 50.8 E0D207 49 (375/388) (McLean et al., 2015[McLean, K. J., Hans, M., Meijrink, B., van Scheppingen, W. B., Vollebregt, A., Tee, K. L., van der Laan, J.-M., Leys, D., Munro, A. W. & van den Berg, M. A. (2015). Proc. Natl Acad. Sci. USA, 112, 2847-2852.])
CYP105N1/SCO7686 3tyw 49.5 Q9EWP1 43 (381/397) Not published
CYP105A1/SuaC 2zbx 49.4 P18326 55 (375/399) (Hayashi et al., 2008[Hayashi, K., Sugimoto, H., Shinkyo, R., Yamada, M., Ikeda, S., Ikushiro, S., Kamakura, M., Shiro, Y. & Sakaki, T. (2008). Biochemistry, 47, 11964-11972.])
CYP105AS1 4oqs 48.6 W5VH56 45 (366/384) (McLean et al., 2015[McLean, K. J., Hans, M., Meijrink, B., van Scheppingen, W. B., Vollebregt, A., Tee, K. L., van der Laan, J.-M., Leys, D., Munro, A. W. & van den Berg, M. A. (2015). Proc. Natl Acad. Sci. USA, 112, 2847-2852.])
CYP55A1 1f26 48.5 P23295 36 (381/399) (Obayashi et al., 2000[Obayashi, E., Shimizu, H., Park, S. Y., Shoun, H. & Shiro, Y. (2000). J. Inorg. Biochem. 82, 103-111.])
CYP107E1/MycG 2ygx 47.3 Q59523 40 (381/393) (Li et al., 2012[Li, S., Tietz, D. R., Rutaganira, F. U., Kells, P. M., Anzai, Y., Kato, F., Pochapsky, T. C., Sherman, D. H. & Podust, L. M. (2012). J. Biol. Chem. 287, 37880-37890.])
CYP107W1/OlmB 4wpz 47.1 Q93HJ0 39 (371/387) (Han et al., 2015[Han, S., Pham, T. V., Kim, J. H., Lim, Y. R., Park, H. G., Cha, G. S., Yun, Y. J., Chun, C. H., Kang, L. W. & Kim, D. (2015). Arch. Biochem. Biophys. 575, 1-7.])
CYP105P1/PteC 3e5j 46.1 Q93H81 44 (372/390) (Xu et al., 2009[Xu, L. H., Fushinobu, S., Ikeda, H., Wakagi, T. & Shoun, H. (2009). J. Bacteriol. 191, 1211-1219.])

CYP105D18 forms a deep, concave and funnel-like active site located in the center between the β-sheet and helix-rich units; at the bottom of the active site, the heme plane is located vertically with respect to the active site funnel (Fig. 5[link]). The active site funnel shape is composed of a B/C loop (residues 173–187), turn region between αF and αG, and C-terminal loop (residues 336–396). Although the CYP105 family shares high structural homology but has diverse substrates, residues from these three regions are barely conserved [Fig. 5[link](b)], indicating that these regions are essential for substrate selectivity for the CYP family. A previous study of CYP105D7 indicated that the arginine residues (Arg70, Arg88 and Arg190) in the B/C loop and αG of the substrate-binding pocket are conserved in the CYP105 family and may be important residues for substrate recognition (Xu et al., 2015[Xu, L. H., Ikeda, H., Liu, L., Arakawa, T., Wakagi, T., Shoun, H. & Fushinobu, S. (2015). Appl. Microbiol. Biotechnol. 99, 3081-3091.]). Unlike CYP105D7, CYP105D18 contains Ser63 and Phe184, corresponding to Arg70 and Arg190 of CYP105D7. This suggests that the residual recognition of the substrate at the active site of CYPs is more complicated and varied.

2.4. Structural feature for the H2O2 stability of CYP105D18

Previous studies have reported that human P450 1A2 is thiol-insensitive to H2O2. The molecular dynamics simulation using rabbit P450 4B1 as a model suggested that the Gln451 of P450 4B1 is an essential residue for the thiol sensitivity of P450 (Albertolle et al., 2019[Albertolle, M. E., Song, H. D., Wilkey, C. J., Segrest, J. P. & Guengerich, F. P. (2019). Chem. Res. Toxicol. 32, 484-492.]). Gln451 in P450 4B1 showed heme thiol­ate and sulfenic acid-dependent open and closed conformations, respectively. These conformational changes alter the solvent accessibility of heme-thiol­ate Cys488. Once the Cys488 was oxidized to sulfenic acid, the Gln451 forms an NH–π bond with Phe441 for closed conformation, limiting the accessibility of oxidizing agents to the protein (Albertolle et al., 2019[Albertolle, M. E., Song, H. D., Wilkey, C. J., Segrest, J. P. & Guengerich, F. P. (2019). Chem. Res. Toxicol. 32, 484-492.]). Consistent with this, H2O2-stable CYP105D18 shows high sequential and structural similarity with P450 4B1. Across from the heme molecule are Phe338 and Gln348, which correspond to Phe441 and Gln451 of P450 4B1 and show a closed conformation. Notably, the substrate-free CYP105D18 shows a small blob on the heme molecules, as depicted in Fig. 6[link], indicating that the heme of CYP105D18 is oxidized. A similar mechanism with the P450 4B1 access region to the heme region of CYP105D18 may involve conformational changes upon oxidation, and this closed conformation probably results in the H2O2 resistance of CYP105D18 (Fig. 6[link]).

[Figure 6]
Figure 6
Superposition of CYP105D18 with H2O2-insensitive rabbit P450 4B1. Residues corresponding to Cys448, Phe441 and Gln451 of P450 4B1 are shown using sticks. The 2FoFc electron density map for the heme and water molecule for CYP105D18 is shown as a gray mesh (contoured at the 2.0σ level). The octane molecule from P450 4B1 is presented as a purple stick.

2.5. Comparison of substrate-binding pockets between substrate-free and papaverine complexes with CYP105D18

In addition to the substrate-free structure of CYP105D18, we determined the papaverine complex structure (PDB entry 7dls) to support papaverine N-oxidation and understand the substrate-binding mode and structural changes that occur upon substrate binding. The papaverine complex structure was superimposed with the substrate-free structure and showed an overall Cα relative mean squared deviation of 0.196 Å. Structural comparisons between the substrate-free and complex forms of CYP105D18s revealed that conformation changes occurred mainly in the B/C loop region. A flexible, less structured loop was observed in the B/C loop, and electron density for residues 73–84 was absent from the substrate-free structure, indicating that this region had a high degree of flexibility. However, the papaverine complex structure had a well defined electron density for the B/C loop and formed a short helix named αB′, which has been previously observed in the diclofenac complex CYP105D7 structure (Xu et al., 2015[Xu, L. H., Ikeda, H., Liu, L., Arakawa, T., Wakagi, T., Shoun, H. & Fushinobu, S. (2015). Appl. Microbiol. Biotechnol. 99, 3081-3091.]). Although the B/C loop is a less conserved region, Phe68 and Pro69 are conserved within the CYP105 family. Phe68 is located at the starting point of the B/C loop and is deeply embedded by interactions with Val286 and Val288 from β4, which may act as a hinge with Pro69 for B/C loop movement. Consistent with this observation, the electron density after Pro69 was blurry with a high B-factor (∼50 Å2), whereas the electron density for Phe68 and Pro69 showed a sharp and a good fit with a low B-factor [∼30 Å2; Fig. 7[link](a)]. Taken to­gether, these findings show that the B/C loop in the active site of the CYP105D18 structure was flexible and remained in an open confirmation without substrate. Once the substrate bound to CYP105D18, the B/C loop formed a helix (αB′) with a closed conformation. This region is thought to be responsible for substrate binding and specificity (Lee et al., 2016[Lee, C. W., Yu, S. C., Lee, J. H., Park, S. H., Park, H., Oh, T. J. & Lee, J. H. (2016). Int. J. Mol. Sci. 17, 2067.]; Xu et al., 2009[Xu, L. H., Fushinobu, S., Ikeda, H., Wakagi, T. & Shoun, H. (2009). J. Bacteriol. 191, 1211-1219.]).

[Figure 7]
Figure 7
Structural comparison of the substrate-free structure and papaverine complex with CYP105D18. (a) Superposition of substrate-free CYP105D18 with papaverine-bound CYP105D18 colored blue and orange, respectively. The BC loop and turn of αF–αG of CYP105D18 are shown as ribbon diagrams. (b) Close-up view of the αB′ and hinge region of the active site. (c) Close-up view of the heme and papaverine-binding site. The papaverine and interacting residues are shown as stick models. Yellow stick models indicate papaverine. Bound heme molecules are also indicated by stick models.

Papaverine was buried within the internal hydro­phobic cavity of CYP105D18 and was surrounded by residues Ala85, Leu87, Val231, Ala282, Val234 and Ile386, with no hydro­philic residues [Fig. 7[link](b)]. The dimethodyiso­quinoline group of papaverine was closely situated in the center of the heme, and dimethodyiso­quinoline nitro­gen was located toward the iron of the heme group. An electron-density blob corresponding to a water molecule between the iso­quinoline nitro­gen and heme iron was found (Fig. S7). The distance between the water and nitro­gen was 3.2 Å, and that between the water and iron was 2.1 Å, indicating that the binding mode represented the true mode for N-oxidation (Fig. 8[link]). The dimethodyiso­quinoline and di­meth­oxy-phenyl groups were bent by approximately 90°, with a single carbon bond. This finding strongly supports our biochemical data demonstrating that CYP105D18 selectively transformed papaverine, although the overall biochemical characteristics of the substrates tested were similar because other iso­quinoline alkaloids are linked using two single carbon bonds that cannot be bent.

[Figure 8]
Figure 8
Bending motion of papaverine in the substrate-binding site of CYP105D18. (a) Detailed binding mode of papaverine with CYP105D18. Papaverine is at the bottom of the active site. The sphere of water molecules (green) is between the dimethodyiso­quinoline nitro­gen and iron of the heme group. Papaverine and heme are colored yellow and magenta, respectively. (b) Close-up view of the binding pocket in (a). Cross-sectional images of CYP105D18 were generated using PyMol (Schrödinger).

To further support this observation, a molecular docking simulation was conducted with bendable substrates and non-bendable substrates. First, we used the papaverine model to check the reliability of the docking simulation. The simulated papaverine binds to the substrate-binding pocket of CYP105D18 with a similar binding mode to that of the co-crystallized structure (Fig. 9[link]). The simulation results show that nitro­gen of bendable chemicals has a closer distance (2.5–2.7 Å) with water molecules interacting with iron of the heme molecule in CYP105D18 compared with those of non-bendable chemical compounds (4.4–8.6 Å). Taken together, we suggest that the bending motion of the ligand may be the critical feature in establishing the distance and coordinates during hydroxyl group transfer. Based on this analysis, we listed potential substrates for CYP105D18 in Fig. S8. Overall, this structural analysis supported the unique features of CYP105D18, including high flexibility at the active site entrance and substrate selectivity.

[Figure 9]
Figure 9
Comparison of bendable and non-bendable substrates. Co-crystallized papaverine and heme molecules with CYP105D18 are shown as yellow and orange sticks. Each potential substrate after the docking calculation was represented with sticks with different color codes. The distances between the water molecules interacting with heme in CYP105D18 and nitro­gen are indicated in each figure. Docking experiments were performed using the Lamarckian genetic algorithm (LGA) method in Autodock Vina (Trott & Olson, 2010[Trott, O. & Olson, A. J. (2010). J. Comput. Chem. 31, 455-461.]).

3. Conclusions

In this study, we reported a novel cytochrome P450 enzyme annotated as CYP105D18. We observed H2O2-mediated N-oxidation of papaverine by this CYP and its high tolerance to H2O2 for papaverine biotransformation. In addition, we investigated the crystal structure of CYP105D18, which suggested that high structural similarity is shared by the CYP105 family. Structural comparison of substrate-free CYP105D18 with a substrate-bound structure revealed high flexibility at the active site entrance comprising the B/C loop. In a papaverine-bound structure, papaverine adopted a bent structure that enabled correct alignment with the heme molecule for the N-oxidation reaction of papaverine. This finding explains why CYP105D18 had strong papaverine activity but weak or no activity for other iso­quinoline alkaloids with non-bendable structures in our data. Taken to­gether, our findings showed that this novel CYP exhibited high tolerance for H2O2 and unique substrate specificity, warranting studies of substantial drug modifications for biotechnological applications.

4. Related literature

The following references are cited in the supporting information: Bhattarai et al. (2013[Bhattarai, S., Liou, K. & Oh, T. J. (2013). Arch. Biochem. Biophys. 539, 63-69.]); DeLano (2002[DeLano, W. L. (2002). The PyMOL Molecular Graphics System. DeLano Scientific, Palo Alto, CA, USA.]); Kumar et al. (2018[Kumar, S., Stecher, G., Li, M., Knyaz, C. & Tamura, K. (2018). Mol. Biol. Evol. 35, 1547-1549.]); Omura & Sato (1964[Omura, T. & Sato, R. (1964). J. Biol. Chem. 239, 2370-2378.]); Purdy et al. (2004[Purdy, M. M., Koo, L. S., Ortiz De Montellano, P. R. & Klinman, J. P. (2004). Biochemistry, 43, 271-281.]); Roy et al. (2010[Roy, A., Kucukural, A. & Zhang, Y. (2010). Nat. Protoc. 5, 725-738.]); Winn et al. (2011[Winn, M. D., Ballard, C. C., Cowtan, K. D., Dodson, E. J., Emsley, P., Evans, P. R., Keegan, R. M., Krissinel, E. B., Leslie, A. G. W., McCoy, A., McNicholas, S. J., Murshudov, G. N., Pannu, N. S., Potterton, E. A., Powell, H. R., Read, R. J., Vagin, A. & Wilson, K. S. (2011). Acta. Cryst. D67, 235-242.]); Zhang (2008[Zhang, Y. (2008). BMC Bioinformatics, 9, 40.]).

Supporting information


Footnotes

These authors contributed equally to this work.

Acknowledgements

We would like to thank the staff at the X-ray core facility of the Korea Basic Science Institute (KBSI; Ochang, Korea) and the BL-5C of the Pohang Accelerator Laboratory (Pohang, Korea) for their kind help with the X-ray diffraction data collection. We would also like to thank the Division of Magnetic Resonance, Korea Basic Science Institute, Ochang, Chungbuk, Republic of Korea, for NMR analyses.

Funding information

This research was part of the project titled `Development of potential antibiotic compounds using polar organism resources' (grant No. 15250103, KOPRI grant PM21030), funded by the Ministry of Oceans and Fisheries, Korea.

References

First citationAggarwal, M., Leser, G. P. & Lamb, R. A. (2020). J. Virol. 94, e01888–19.  CrossRef CAS PubMed Google Scholar
First citationAlbertolle, M. E., Song, H. D., Wilkey, C. J., Segrest, J. P. & Guengerich, F. P. (2019). Chem. Res. Toxicol. 32, 484–492.  CrossRef CAS PubMed Google Scholar
First citationAnari, M. R., Josephy, P. D., Henry, T. & O'Brien, P. J. (1997). Chem. Res. Toxicol. 10, 582–588.  CrossRef CAS PubMed Google Scholar
First citationBhattarai, S., Liou, K. & Oh, T. J. (2013). Arch. Biochem. Biophys. 539, 63–69.  CrossRef CAS PubMed Google Scholar
First citationBremner, J. B. & Wiriyachitra, P. (1973). Aust. J. Chem. 26, 437–442.  CrossRef CAS Google Scholar
First citationBrossi, A. & Teitel, S. (1970). J. Org. Chem. 35, 1684–1687.  CrossRef CAS PubMed Google Scholar
First citationCiaramella, A., Catucci, G., Di Nardo, G., Sadeghi, S. J. & Gilardi, G. (2020). New Biotechnol. 54, 71–79.  CrossRef CAS Google Scholar
First citationDangi, B., Park, H. & Oh, T. J. (2018). ChemBioChem, 19, 2273–2282.  CrossRef CAS PubMed Google Scholar
First citationDeLano, W. L. (2002). The PyMOL Molecular Graphics System. DeLano Scientific, Palo Alto, CA, USA.  Google Scholar
First citationDembitsky, V. M., Gloriozova, T. A. & Poroikov, V. V. (2015). Phytomedicine, 22, 183–202.  CrossRef CAS PubMed Google Scholar
First citationEgbewande, F. A., Coster, M. J., Jenkins, I. D. & Davis, R. A. (2019). Molecules, 24, 3938.  CrossRef Google Scholar
First citationGirreser, U., Hermann, T. W. & Piotrowska, K. (2003). Arch. Pharm. Pharm. Med. Chem. 336, 401–405.  CrossRef CAS Google Scholar
First citationHan, S., Pham, T. V., Kim, J. H., Lim, Y. R., Park, H. G., Cha, G. S., Yun, Y. J., Chun, C. H., Kang, L. W. & Kim, D. (2015). Arch. Biochem. Biophys. 575, 1–7.  CrossRef CAS PubMed Google Scholar
First citationHayashi, K., Sugimoto, H., Shinkyo, R., Yamada, M., Ikeda, S., Ikushiro, S., Kamakura, M., Shiro, Y. & Sakaki, T. (2008). Biochemistry, 47, 11964–11972.  Web of Science CrossRef PubMed CAS Google Scholar
First citationHyland, R., Jones, B. C. & Smith, D. A. (2003). Drug Metab. Dispos. 31, 540–547.  CrossRef PubMed CAS Google Scholar
First citationIsin, E. M. & Guengerich, F. P. (2007). Biochim. Biophys. Acta, 1770, 314–329.  Web of Science CrossRef PubMed CAS Google Scholar
First citationKumar, S., Stecher, G., Li, M., Knyaz, C. & Tamura, K. (2018). Mol. Biol. Evol. 35, 1547–1549.  Web of Science CrossRef CAS PubMed Google Scholar
First citationLee, C. W., Yu, S. C., Lee, J. H., Park, S. H., Park, H., Oh, T. J. & Lee, J. H. (2016). Int. J. Mol. Sci. 17, 2067.  CrossRef Google Scholar
First citationLi, S., Tietz, D. R., Rutaganira, F. U., Kells, P. M., Anzai, Y., Kato, F., Pochapsky, T. C., Sherman, D. H. & Podust, L. M. (2012). J. Biol. Chem. 287, 37880–37890.  CrossRef CAS PubMed Google Scholar
First citationMcLean, K. J., Hans, M., Meijrink, B., van Scheppingen, W. B., Vollebregt, A., Tee, K. L., van der Laan, J.-M., Leys, D., Munro, A. W. & van den Berg, M. A. (2015). Proc. Natl Acad. Sci. USA, 112, 2847–2852.  CrossRef CAS PubMed Google Scholar
First citationMiyanaga, A., Takayanagi, R., Furuya, T., Kawamata, A., Itagaki, T., Iwabuchi, Y., Kanoh, N., Kudo, F. & Eguchi, T. (2017). ChemBioChem, 18, 2179–2187.  CrossRef CAS PubMed Google Scholar
First citationMunro, A. W., McLean, K. J., Grant, J. L. & Makris, T. M. (2018). Biochem. Soc. Trans. 46, 183–196.  CrossRef CAS PubMed Google Scholar
First citationObayashi, E., Shimizu, H., Park, S. Y., Shoun, H. & Shiro, Y. (2000). J. Inorg. Biochem. 82, 103–111.  CrossRef PubMed CAS Google Scholar
First citationO'Keefe, D. P., Romesser, J. A. & Leto, K. J. (1988). Arch. Microbiol. 149, 406–412.  CAS Google Scholar
First citationOmura, T. & Sato, R. (1964). J. Biol. Chem. 239, 2370–2378.  CrossRef PubMed CAS Web of Science Google Scholar
First citationPandey, B. P., Roh, C. H., Choi, K. Y., Lee, N. H., Kim, E. J., Ko, S. G., Kim, T. J., Yun, H. D. & Kim, B. G. (2010). Biotechnol. Bioeng. 105, 697–704.  PubMed CAS Google Scholar
First citationPodgorski, M. N., Harbort, J. S., Coleman, T., Stok, J. E., Yorke, J. A., Wong, L. L., Bruning, J. B., Bernhardt, P. V., De Voss, J. J., Harmer, J. R. & Bell, S. G. (2020). Biochemistry, 59, 1038–1050.  CrossRef CAS PubMed Google Scholar
First citationPurdy, M. M., Koo, L. S., Ortiz De Montellano, P. R. & Klinman, J. P. (2004). Biochemistry, 43, 271–281.  CrossRef PubMed CAS Google Scholar
First citationReal, A. M., Hong, S. & Pissios, P. (2013). Drug Metab. Dispos. 41, 550–553.  CrossRef CAS PubMed Google Scholar
First citationRoy, A., Kucukural, A. & Zhang, Y. (2010). Nat. Protoc. 5, 725–738.  Web of Science CrossRef CAS PubMed Google Scholar
First citationShen, C., Zhao, W., Liu, X. & Liu, J. (2019). Biotechnol. Lett. 41, 171–180.  CrossRef CAS PubMed Google Scholar
First citationStrohmaier, S. J., De Voss, J. J., Jurva, U., Andersson, S. & Gillam, E. M. J. (2020). Drug Metab. Dispos. 48, 432–437.  CrossRef CAS PubMed Google Scholar
First citationTakamatsu, S., Xu, L. H., Fushinobu, S., Shoun, H., Komatsu, M., Cane, D. E. & Ikeda, H. (2011). J. Antibiot. 64, 65–71.  CrossRef CAS Google Scholar
First citationTrott, O. & Olson, A. J. (2010). J. Comput. Chem. 31, 455–461.  Web of Science PubMed CAS Google Scholar
First citationUllrich, R., Dolge, C., Kluge, M. & Hofrichter, M. (2008). FEBS Lett. 582, 4100–4106.  Web of Science CrossRef PubMed CAS Google Scholar
First citationWei, X., Zhang, C., Gao, X., Gao, Y., Yang, Y., Guo, K., Du, X., Pu, L. & Wang, Q. (2019). ChemistryOpen, 8, 1076–1083.  CrossRef CAS PubMed Google Scholar
First citationWilliams, C. J., Headd, J. J., Moriarty, N. W., Prisant, M. G., Videau, L. L., Deis, L. N., Verma, V., Keedy, D. A., Hintze, B. J., Chen, V. B., Jain, S., Lewis, S. M., Arendall, W. B., Snoeyink, J., Adams, P. D., Lovell, S. C., Richardson, J. S. & Richardson, D. C. (2018). Protein Sci. 27, 293–315.  Web of Science CrossRef CAS PubMed Google Scholar
First citationWinn, M. D., Ballard, C. C., Cowtan, K. D., Dodson, E. J., Emsley, P., Evans, P. R., Keegan, R. M., Krissinel, E. B., Leslie, A. G. W., McCoy, A., McNicholas, S. J., Murshudov, G. N., Pannu, N. S., Potterton, E. A., Powell, H. R., Read, R. J., Vagin, A. & Wilson, K. S. (2011). Acta. Cryst. D67, 235–242.  Web of Science CrossRef CAS IUCr Journals Google Scholar
First citationXu, L. H., Fushinobu, S., Ikeda, H., Wakagi, T. & Shoun, H. (2009). J. Bacteriol. 191, 1211–1219.  CrossRef PubMed CAS Google Scholar
First citationXu, L. H., Fushinobu, S., Takamatsu, S., Wakagi, T., Ikeda, H. & Shoun, H. (2010). J. Biol. Chem. 285, 16844–16853.  CrossRef CAS PubMed Google Scholar
First citationXu, L. H., Ikeda, H., Liu, L., Arakawa, T., Wakagi, T., Shoun, H. & Fushinobu, S. (2015). Appl. Microbiol. Biotechnol. 99, 3081–3091.  CrossRef CAS PubMed Google Scholar
First citationZhang, Y. (2008). BMC Bioinformatics, 9, 40.  Google Scholar
First citationZhang, Z., Li, Y., Stearns, R. A., Ortiz de Montellano, P. R., Baillie, T. A. & Tang, W. (2002). Biochemistry, 41, 2712–2718.  CrossRef PubMed CAS Google Scholar

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Volume 8| Part 4| July 2021| Pages 684-694
ISSN: 2052-2525