DOI:
10.1039/C4RA16165C
(Paper)
RSC Adv., 2015,
5, 13871-13877
Insights into the catalytic mechanism of chlorophenol 4-monooxygenase: a quantum mechanics/molecular mechanics study†
Received
11th December 2014
, Accepted 21st January 2015
First published on 21st January 2015
Abstract
The catalytic mechanism of chlorophenol 4-monooxygenase (TftD) toward substrates 2,4,5-trichlorophenol (2,4,5-TCP), 2,4,6-trichlorophenol (2,4,6-TCP), and 2,5-dichloro-p-hydroquinone (2,5-DiCHQ) was studied by quantum mechanical/molecular mechanical (QM/MM) investigations. The hydroxylation rather than dechlorination was found to be the rate determining step for all three substrates. Substantial energy barrier spreads on the hydroxylation steps have been found. The corresponding Boltzmann-weighted average barriers are 16.3, 17.8, and 19.7 kcal mol−1 for 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ, in accordance with the experimentally determined reaction rates. A previously unnoticed residue Arg100 was found to be important during the hydroxylation steps. Electrostatic influences of ten active site residues on the hydroxylation step were also investigated. Glu251 and Arg366 were highlighted as candidate residues for future mutation studies. In addition, we have shown that spatial location of 2,6-DiCHQ as well as the hydroxylation barrier are the two possible reasons why 2,6-DiCHQ cannot be further degraded by TftD.
1. Introduction
Chlorinated phenols (CPs) have been used worldwide as herbicides, preservatives, bactericides and fungicides as well as intermediates in the production of dyes or pharmaceuticals.1 The widespread distribution of CPs in the environment has caused serious concerns, mainly due to its toxicity, environmental persistence, and bioaccumulation properties.2 In addition, CPs can be transformed to carcinogenic chlorinated dibenzo-p-dioxins or dibenzofurans either though manufacturing processes or by means of biotransformation in soils.3–5 It is thus critically desiderated to set up strategies to minimize the continued exposure of humans to these bio-accumulative pollutants. Environmental biotransformation, one of the most promising strategies with the lowest power input, has provided some encouraging results and received worldwide acceptance in dealing with CPs.1,6,7 Eighteen CPs are divided into five different groups based on the number of substituted chlorine atoms, such as mono-CPs (MCPs), di-CPs (DCPs), tri-CPs (TCPs), tetra-CPs (TeCPs), and penta-CPs (PCPs). Particularly, more attention has been focused on the bio-degradation of poly-CPs rather than MCPs, mainly due to its more recalcitrant character toward degradation.8
Many bacteria have been found to be able to degrade poly-CPs, such as Pseudomonas sp. DP-4, Rhodococcus erythropolis, Burkholderia cepacia AC1100 (also known as Burkholderia phenoliruptrix AC1100), and Mycobacterium chlorophenolicum PCP-1.9–11 Of all these bacteria, Burkholderia cepacia AC1100 has gained the most interest, partly due to its ability of using 2,4,5-trichlorophenoxyacetic acid as the sole carbon source, and partly due to its broad substrate specificity toward poly-CPs.12–15 Burkholderia cepacia AC1100 can efficiently degrade many poly-CPs, such as 2,4,5-trichlorophenol (2,4,5-TCP), 2,4,6-trichlorophenol (2,4,6-TCP), 2,3,4,6-trichlorophenol (2,3,4,6-TeCP), and pentachlorophenol (PCP).6,16,17 It has been validated that chlorophenol 4-monooxygenase (TftD) encoded by gene tftD is responsible for the degradation of poly-CPs.18
Recent crystallization data (resolution 2.0 Å) has highlighted the composition of the active site residues of TftD at molecular level.19 Although co-crystalize of TftD–2,4,5-TCP or TftD–2,4,6-TCP complexes were not successful, the crystal structure shed light on understanding the degradation mechanism of TftD toward these poly-CPs. Combined with kinetic results, Xun and coworkers have been successfully proved that TftD firstly transforms 2,4,5-TCP to 2,5-dicholoro-p-benzoquinone (2,5-DiCBQ) in the presence of coenzyme flavin adenine dinucleotide (FADH2), and then ejects 2,5-DiCBQ from the active site of TftD to the solution where 2,5-DiCBQ is transformed to 2,5-dichloro-p-hydroquinone (2,5-DiCHQ). After that, 2,5-DiCHQ can be re-utilized and degraded to 5-chloro-2-hydroxy-p-benzoquinone (5-Cl-2-H-BQ) by TftD. Finally, 5-Cl-2-H-BQ was transferred to 5-chloro-2-hydroxy-p-hydroquinone (5-Cl-2-H-HQ) in the solution environment16–19 (Scheme 1). Similarly, TftD can transform 2,4,6-TCP to 2,6-dicholoro-p-benzoquinone (2,6-DiCBQ), and 2,6-DiCBQ is then transformed to 2,6-dichloro-p-hydroquinone (2,6-DiCHQ) in the solution. However, astonishingly, no catalytic ability of TftD toward 2,6-DiCHQ was found.14,15,17,19
 |
| Scheme 1 Arrangement of active site. The boundary between the QM and MM region is indicated by wavy lines. | |
Although the sequential degradation steps of TftD towards 2,4,5-TCP and 2,4,6-TCP have been established, an in-depth understanding of the corresponding elementary reactions for each step is still not available, mainly due to the limitations of the experimental facilities. For instance, co-crystalize of the reactant, intermediate, and product structures of TftD–FADH2–2,4,5–TCP ternary complex were not successful. This obstructs our understanding on the catalytic machinery differences of diverse poly-CPs like 2,4,5-TCP and 2,4,6-TCP. In addition, mutation of His289 to Ala289 exhibits a dramatically decreased catalytic efficiency of TftD, which highlights a positive influence of His289 on the degradation processes.19 However, the roles of many other active site residues during the catalytic process of TftD were not elucidated. Understanding the roles of active site residues may provide valuable insights in further mutation studies, and can subsequently enhance enzyme activity toward poly-CPS. In the present work, the detailed degradation processes of TftD toward 2,4,5-TCP, 2,5-DiCHQ, and 2,4,6-TCP have been investigated with the aid of a combined quantum mechanics/molecular mechanics (QM/MM) method. QM/MM calculations of the enzyme-catalyzed reaction can provide the atomistic details of the enzyme mechanism and are therefore becoming increasingly important to complement experimental enzyme chemistry.20–22 In order to better elucidate why TftD cannot degrade 2,6-DiCHQ, the catalytic mechanism of TftD toward 2,6-DiCHQ was also investigated in this study. In addition, a detailed study of the electrostatic influence of ten active site residues on the catalytic processes of TftD toward 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ have been performed.
2. Methods
2.1 Model preparation and molecular dynamics
The initial models for the present simulation were built on the basis of X-ray crystal structure of TftD (PDB code: 3HWC) obtained from Protein Data Bank (http://www.pdb.org). The protonation state of ionozable residues were determined on the basis of the pKa values obtained via the PROPKA procedure and were manually verified through visual inspection.23 Missing hydrogen atoms in the crystal structure were added by using HBUILD facility in the CHARMM package.24–26 Since co-crystalize of FADH2 and substrate (2,4,5-TCP or 2,4,6-TCP) with TftD were not successful, the configuration of FADHOOH (oxidation state of FADH2) and substrate were determined and docked to TftD by using Material Studio 4.4 and Discovery Studio 2.1 programs (Accelrys Software Inc.). A grid-based receptor-flexible docking module (CDOCKER) in Discovery Studio 2.1 was used for docking.26,27 The TftD–FADHOOH–substrate ternary complex was placed in a sphere with diameter 80 Å. Water molecules overlapping within 2.5 Å of the ternary complex were deleted. The whole system was then neutralized with seven sodium ions. After that, the system was heated from absolute zero to 298.15 K in 50 ps, and a trajectory of 500 ps was computed to reach an equilibration state (1 fs per step). A 5 ns stochastic boundary molecular dynamics (SBMD) simulation with canonical ensemble (NVT, 298.15 K) was performed to mimic the aqueous environment.28 Three snapshots were taken at 3 ns, 4 ns, and 5 ns of the molecular dynamics run. These structures serve as starting configurations for the following geometry optimizations and transition-state search.
2.2 QM/MM calculations
The QM/MM calculations were performed with the aid of ChemShell,29 which integrates Turbomole30 and DL-POLY programs.31 Hybrid delocalized internal coordinate (HDLC)32 was adopted through the calculations, and QM-region was treated by the DFT33 method, while MM-region was treated by CHARMM22 force field.34 In the QM side, the truncated covalent bonds between the QM-region and MM-region were complemented by adding hydrogen link atoms. A charge shift model35 was used to avoid over polarization of the QM density of the QM-region. Before performing QM/MM studies, some criteria were considered to guarantee the reasonability of the QM/MM partitioning: (1) residues that involved in the bond cleavage or formation should be considered in the QM region; (2) residues that strongly interact with the reactive center should also be incorporated into the QM region. As a result, the QM-region of system TftD–FADHOOH–2,4,5-TCP contains oxidation state of co-enzyme FADHOOH, residues Arg100, Phe153, Val154, Thr192, His289 and the substrate 2,4,5-TCP. This resulted in 98 QM atoms in total. The size-dependency was carefully checked by performing single-point calculations with an even larger QM region (212 atoms, details were provided in Table S1†). The calculated energy barriers indicate that it is reasonable to include 98 atoms in the QM-region. We scanned the potential energy profile along the reaction path, and the structure with the highest energy (transition state structure) was optimized by combining partitioned rational function optimizer (P-RFO) algorithm36 and the low-memory Broyden–Fletcher–Goldfarb–Shanno (L-BFGS) algorithm.37 Harmonic vibrational frequency calculations for stationary points were performed to determine the zero-point energy (ZPE) as well as to validate the transition state character. The QM-region was optimized at the B3LYP/6-31G(d,p) level while a larger basis set, B3LYP/6-311++G(d,p), was employed in single point energy calculations. In the QM/MM calculations, both the energetic and structural contributions from the MM-region on the chemical reaction occurring at the active site were considered.
3. Results and discussion
Recent room-temperature single molecule experiments have shown that the rate constant of a single enzyme molecule is not constant but exhibits large fluctuations with a broad range (1 ms to 100 s).38,39 The overall rate constant kcat is the integrated results by considering all the fluctuant rate constants of a single enzyme molecule.40 By assuming that each snapshot extracted from the dynamics trajectory corresponds to a local rate constant, many excellent QM/MM studies have shown that the calculated average barrier by Boltzmann-weighted averaging method correspond well to the overall kcat.41,42 Thus three different snapshots extracted at 3, 4 and 5 ns from the trajectory were used as the start points in the present study. The Boltzmann-weighted average barriers were obtained by using the following equation:43,44 |
 | (1) |
where, ΔEea is the average barrier, R is gas constant, n is the number of snapshots, ΔEi is the energy barrier of path i, and T is the temperature. If not specially noted, the “average barrier” mentioned in the following paragraphs refers to Boltzmann-weighted averaging barrier. For convenience of the description, several atoms in the QM-region are numbered, as presented in Scheme 1.
3.1 Reaction mechanism and potential energy profiles
Despite the substrate differences (2,4,5-TCP, 2,4,6-TCP, or 2,5-DiCHQ), all the degradation processes catalyzed by TftD contain two elementary steps: hydroxylation and dechlorination, as indicated in Scheme 2 and 3. The calculated energy barriers of the hydroxylation step is much higher than that of the dechlorination step, which implies that hydroxylation is the rate-determining step during the catalytic processes of TftD toward these poly-CPs (Fig. 1). A substantial energy barrier spread for this step has been found during the degradation process of 2,4,5-TCP (16.3–24.7 kcal mol−1) among different snapshots. Similar energy barrier spreads for 2,4,6-TCP (17.8–23.1 kcal mol−1) and 2,5-DiCHQ (19.7–27.8 kcal mol−1) were also found. These observed energy barrier fluctuations may be helpful in understanding the recent single molecule experimental evidences that the reaction rate of a single enzyme molecule exhibits large fluctuations.38,39 In addition, the calculated average barriers for the hydroxylation step of 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ are 16.9, 18.4, 19.7 kcal mol−1, correspond well with the experimentally determined overall kcat values (0.67 s−1, 0.41 s−1, and 0.10 s−1).17,19
 |
| Scheme 2 TftD catalyzed degradation reactions from 2,4,5-TCP to 2,5-DiCHQ. | |
 |
| Scheme 3 TftD catalyzed degradation reactions from 2,5-DiCHQ to 5-Cl-2-H-HQ. | |
 |
| Fig. 1 Energy profile of TftD catalyzed degradation reactions toward 2,4,5-TCP (red), 2,4,6-TCP (blue), and 2,5-DiCHQ at the B3LYP/6-311++G(d,p)//CHARMM22 level. The lowest hydroxylation barriers for the three substrates are indicated by bold lines and numbers while the numbers in the braces are the calculated Boltzmann-weighted average barriers. | |
The calculated energy barriers for the dechlorination steps are relatively low (0.3, 0.2, 0.2 kcal mol−1). This implies that the hydroxylated substrate (like IM3, hydroxylated 2,4,5-TCP) is unstable and can be quickly transformed to the product (like P-5, 2,5-DiCBQ) by TftD. To verify this conclusion, the QM only calculations of the QM-region were also performed. The energy barriers for the dechlorination steps of 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ are 2.9, 3.5, and 1.1 kcal mol−1, which also indicates the low barrier character of the dechlorination steps. The reaction heats for all the dechlorination pathways range from −38.5 to −29.8 kcal mol−1, indicating that the degradation processes toward 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ are irreversible. It is worth mentioning that the experimentally detected degradation products (5-Cl-2-H-BQ) of 2,5-DiCHQ is not P10 (4-chloro-3-hydroxy-benzoquinone, 4-Cl-3-H-BQ) shown in Scheme 3. The spatial locations of active site residues in TftD do not favor the transformation of 4-Cl-3-H-BQ to 5-Cl-2-H-BQ. Thus, 4-Cl-3-H-BQ might be spontaneously isomerized to 5-Cl-2-H-BQ in the solution, as indicated by the fact that the energy of 5-Cl-2-H-BQ is about 10.4 kcal mol−1 lower than that of 4-Cl-3-H-BQ (Fig. S1†). In the solution, 5-Cl-2-H-BQ can then be further transformed to 5-Cl-2-H-HQ by nicotinamide adenine dinucleotide (NADH).
3.2 Catalytic itinerary and structural details
Since a majority of the catalytic reactions proceed through pathways with the highest reaction rates, the following investigations will mainly focus on pathways with the lowest energy barriers during the degradation processes toward 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ, respectively. Table 1 shows the natural bond orbital (NBO) charges of some groups (OdHd, OdHd-adduct, FADHOpOdHd) calculated at B3LYP/6-31G(d,p)//CHARMM22 level as well as some key bond lengths (Op–Od, Od–C4, C4–Cld and Oa–Ha) obtained at the B3LYP/6-31G(d,p)//CHARMM22 level. For a more intuitive observation, the three dimension structures of R-1, TS-2, and IM-3 involved in the hydroxylation step (rate-determining) of 2,4,5-TCP were provided in Fig. 2. Structures of R′-1, TS′-2, IM′-3, R-6, TS-7, and IM-8 involved in the hydroxylation step (rate-determining) of 2,4,6-TCP and 2,5-DiCHQ were provided in Fig. S2 and S3.† Take substrate 2,4,5-TCP as an example, the hydroxylation process (R1 → TS-2 → IM-3) are mainly indicated by the variations of bonds Op–Od and Od–C4. The length of bond Op–Od varies from 1.45 to 1.89 and 2.78 Å while Od–C4 changes from 3.88 to 1.97 and 1.39 Å. Two hydrogen bonds (Hb–Op and Hb–Od) were found in the R-1, TS-2, and IM-3 structures, highlighting the role of a previously unnoticed residue Arg100. Detailed analysis shows that both of the hydrogen bonds in TS-2 (2.20 and 2.73 Å) are stronger than in R-1 (2.51 and 3.54 Å), which implies a positive role of Arg100 during the hydroxylation step. Similar roles during the hydroxylation step of 2,4,6-TCP and 2,5-DiCHQ were also found (Table 1). The length of bond C4–Cld changes from 1.80 Å (IM-3), 1.91 Å (TS-4) to 3.26 Å (P-5) during the dechlorination process, indicating the formation of a chloride ion. The anion character of Cld in the product was confirmed by its negative charge (Cld, −0.75).
Table 1 Calculated key group charges (OdHd, OdHd-adduct, and FADHOpOdHd) at the B3LYP/6-311++G(d,p)//CHARMM22 level and key lengths of bonds (Op–Od, Od–C4, C4–Cld and Oa–Ha) at the B3LYP/6-31G(d,p)//CHARMM22 level during the degradation processes toward 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ
Substrates |
Structures |
Bonds/(Å) |
Charges/(e) |
Op–Od |
Od–C4 |
C4–Cld |
Hb–Op |
Hb–Od |
OdHd |
OdHd-adduct |
FADHOpOdHd |
2,4,5-TCP |
R-1 |
1.45 |
3.88 |
1.73 |
2.51 |
3.54 |
0.05 |
— |
0.00 |
TS-2 |
1.89 |
1.97 |
1.76 |
2.20 |
2.73 |
−0.11 |
— |
−0.48 |
IM-3 |
2.78 |
1.39 |
1.80 |
1.73 |
3.56 |
−0.17 |
0.00 |
−1.05 |
TS-4 |
2.70 |
1.32 |
1.91 |
1.85 |
3.56 |
— |
— |
— |
P-5 |
2.79 |
1.23 |
3.26 |
2.96 |
2.35 |
— |
— |
— |
2,4,6-TCP |
R′-1 |
1.45 |
3.75 |
1.74 |
2.43 |
3.42 |
0.05 |
— |
0.01 |
TS′-2 |
1.90 |
1.94 |
1.76 |
2.19 |
2.63 |
−0.10 |
— |
−0.47 |
IM′-3 |
2.86 |
1.40 |
1.81 |
1.80 |
4.19 |
−0.17 |
0.01 |
−1.03 |
TS′-4 |
2.86 |
1.37 |
1.89 |
1.79 |
4.16 |
— |
— |
— |
P′-5 |
2.87 |
1.23 |
3.26 |
3.18 |
1.99 |
— |
— |
— |
2,5-DiCHQ |
R-6 |
1.45 |
2.75 |
1.75 |
1.98 |
2.39 |
0.05 |
— |
0.04 |
TS-7 |
1.95 |
1.91 |
1.75 |
1.79 |
2.53 |
−0.11 |
— |
−1.54 |
IM-8 |
2.89 |
1.4 |
1.82 |
1.64 |
4.07 |
−0.24 |
0.07 |
−1.08 |
TS-9 |
2.43 |
1.36 |
1.86 |
1.76 |
3.68 |
— |
— |
— |
P-10 |
3.25 |
1.24 |
2.93 |
2.52 |
3.89 |
— |
— |
— |
 |
| Fig. 2 Optimized reactant (R-1), transition state (TS-2), and intermediate (IM-3) structures for the hydroxylation step of TftD towards 2,4,5-TCP at B3LYP/6-31G(d,p)//CHARMM22 level. The unit of the bond distances and imaginary frequency are in Å and cm−1. | |
During the degradation processes toward 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ, the calculated NBO charges of the OdHd group are −0.11, −0.10, and −0.11, respectively. This near radical character of OdHd has been proposed in other FADH2-dependent enzymes like p-hydroxybenzoate hydroxylase,45 which seemingly challenges the OH cation transfer mechanism established in another study on p-hydroxybenzoate hydroxylase.46 However, no radicals were found in IM-3 in the present study, as indicated by the negatively charged FADHOd− (−0.88, −0.86, and −0.84) and neutral character of OH-adduct (0.00, 0.01, and 0.07). Direct comparison of the co-enzyme in R-1 (FADHOpOdHd) and IM-3 (FADHOd−) implies that the co-enzyme acquired an electron after hydroxylation process through heterolysis rather than hemolysis of the Od–Op bond. The observed OdHd radical only exits in structure TS-2 during this hydroxylation (single electron transfer) process.
3.3 Individual residue influence and substrate selectivity
The electrostatic influence of ten residues toward the hydroxylation processes of 2,4,5-TCP, 2,4,5-TCP, and 2,5-DiCHQ were estimated. The activation energy difference caused by amino acid i can be described as:
where ΔEi−0 is the changes of the barrier, ΔEi is the energy barrier with charges on residue i set to 0, and ΔE0 is the original values of the energy barrier. The geometry structures of the stationary points were kept unchanged during all these calculations. A positive ΔEi−0 value means that the ith residue lowers the energy barrier and facilities the catalytic reaction. The ΔEi−0 values of eleven residues were schematically represented in Fig. 3. The electrostatic influences of the ten studied residues toward substrate 2,4,5-TCP and 2,4,6-TCP are similar. Glu251 and Arg366 significantly suppress the hydroxylation processes of 2,4,5-TCP by increasing the reaction barrier of about 9.1 and 7.4 kcal mol−1 (ΔEi−0 = −7.4 kcal mol−1) while they suppress the hydroxylation processes of 2,4,6-TCP by increasing the reaction barrier of about 9.9 and 8.8 kcal mol−1. All the other studied residues have a relative weaker influence towards the hydroxylation processes (−2.0 kcal mol−1 < ΔEi−0 < 2.0 kcal mol−1). Our electrostatic influence analysis highlights Glu251 and Arg366 as candidate residues for future mutation studies.
 |
| Fig. 3 ΔEi−0 values of ten individual residues toward the hydroxylation step of 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ. | |
The reason why TftD can catalyze 2,5-DiCHQ but not 2,6-DiCHQ stays unclear. Since the degradation sites of substrates 2,4,5-TCP, 2,4,6-TCP, 2,5-DiCHQ, and PCP are all found at 3, 4, or 5-positions but not at 2, or 6-positions, it has been proposed that the spatial locations of substrates may significantly influence the degradation process.14,15,17,19 Like the other poly-CPs, the most favorable locations of 2,6-DiCHQ are the 3,5-positions (with no chlorine atoms) ready to be hydroxylated. The energies of unfavorable locations of 2,6-DiCHQ (2,6-positions ready to be hydroxylated, named as 2,6-DiCHQ′) are about 11.5 kcal mol−1 higher than the favorable locations calculated at B3LYP/6-311++G(d,p)//CHARMM22 level. Further QM/MM hydroxylation calculations on the 6-position of 2,6-DiCHQ′ shows a comparable hydroxylation energy barrier (22.7 kcal mol−1) with TftD–FADOpOdHd–2,5-DiCHQ complex (20.4 kcal mol−1). The transition state character was also confirmed by the imaginary frequency (321.5i). As a result, for hydroxylation of 2,6-DiCHQ, an extremely high barrier of ∼34.2 (11.5 plus 22.7) kcal mol−1 should be crossed. These results show that spatial locations of 2,6-DiCHQ as well as the hydroxylation barrier are the two possible reasons why 2,6-DiCHQ cannot be further degraded by TftD.
4. Conclusions
In the present work, the degradation processes of enzyme TftD towards substrates 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ were calculated by using QM/MM method. Two elementary steps (hydroxylation and dechlorination) were found during the degradation processes for all the three substrates. The hydroxylation step was found to be rate-determining step with average barriers 16.3, 17.8, and 19.7 kcal mol−1 for 2,4,5-TCP, 2,4,6-TCP, and 2,5-DiCHQ, respectively. Substantial energy barrier spreads on the hydroxylation steps have been found, in agreement with the previous room-temperature single molecule experiments (reaction rate varies among different enzymatic conformations). In addition, electrostatic influences of individual neighboring residues on hydroxylation steps were analyzed and residues Glu251 and Arg366 were highlighted as candidate residues for future mutation studies. Moreover, we have shown that spatial locations of 2,6-DiCHQ as well as the hydroxylation barrier are the two possible reasons why 2,6-DiCHQ cannot be further degraded by TftD.
Acknowledgements
The work was financially supported by NSFC (National Natural Science Foundation of China, project no. 21337001, 21377073 and 21177077), FRFSU (Fundamental Research Funds of Shandong University, project no. 2015GN007), and Taishan Grand (no. ts20120522).
References
- A. O. Olaniran and E. O. Igbinosa, Chemosphere, 2011, 83, 1297–1306 CrossRef CAS PubMed.
- L. Y. Xun and C. M. Webster, J. Biol. Chem., 2004, 297(8), 6696–6700 Search PubMed.
- D. G. Crosby, Pure Appl. Chem., 1981, 53, 1052–1080 CrossRef.
- D. Firestone, Ecol. Bull., 1978, 27, 39–52 Search PubMed.
- E. Hoekstra, H. de Weerd, E. de Leer and U. Brinkman, Environ. Sci. Technol., 1999, 33, 2543–2549 CrossRef CAS.
- I. P. Solyanikova and L. A. Golovleva, J. Environ. Sci. Health, Part B, 2004, 39, 333–351 CrossRef PubMed.
- J. A. Field and R. Sierra-Alvarez, Rev. Environ. Sci. Biotechnol., 2008, 7, 211–241 CrossRef CAS.
- P. K. Arora and H. Bae, Microb. Cell Fact., 2014, 13, 31 CrossRef PubMed.
- M. Tarao and M. Seto, Appl. Environ. Microbiol., 2000, 66, 566–570 CrossRef CAS PubMed.
- M. Goswami, N. Shivaraman and R. P. Singh, World J. Microbiol. Biotechnol., 2002, 18, 779–783 CrossRef CAS.
- J. S. Uotila, M. S. Salkinoja-Salonen and J. H. A. Apajalahti, Biodegradation, 1991, 2, 25–31 CrossRef CAS.
- S. Kellogg, D. Chatterjee and A. Chakrabarty, Science, 1981, 214, 1133–1135 CAS.
- H. Koike, H. Sasaki, T. Kobori, S. Zenno, K. Saigo, M. E. Murphy, E. T. Adman and M. Tanokura, J. Mol. Biol., 1998, 280, 259–273 CrossRef CAS PubMed.
- G. Martin, I. Artaud and C. Capeillère-Blandin, Biochim. Biophys. Acta, 2001, 1547, 288–301 CrossRef.
- G. Martin, S. Dijols, C. Capeillere-Blandin and I. Artaud, Eur. J. Biochem., 1999, 261, 533–539 CrossRef CAS.
- L. Y. Xun, J. Bacteriol., 1996, 178, 2645–2649 CAS.
- M. R. Gisi and L. Y. Xun, J. Bacteriol., 2003, 185, 2786–2792 CrossRef CAS.
- A. Hubner, C. E. Danganan, L. Y. Xun, A. M. Chakrabarty and W. Hendrickson, Appl. Environ. Microbiol., 1998, 64, 2086–2093 CAS.
- B. N. Webb, J. W. Ballinger, E. Kim, S. M. Belchik, K. S. Lam, B. Youn, M. S. Nissen, L. Y. Xun and C. Kang, J. Biol. Chem., 2010, 285, 2014–2027 CrossRef CAS PubMed.
- W. Thiel and G. Hummer, Nature, 2013, 504, 96–97 CrossRef CAS PubMed.
- G. Ma, L. Dong and Y. Liu, RSC Adv., 2014, 4, 35449–35458 RSC.
- C. Li and S. Shaik, RSC Adv., 2013, 3, 2995–3005 RSC.
- H. Li, A. D. Robertson and J. H. Jensen, Proteins, 2005, 61, 704–721 CrossRef CAS PubMed.
- B. R. Brooks, R. E. Bruccoleri, B. D. Olafson, D. J. States, S. Swaminathan and M. Karplus, J. Comput. Chem., 1983, 4, 187–217 CrossRef CAS.
- B. R. Brooks, C. L. Brooks III, A. D. Mackerell, L. Nilsson, R. J. Petrella, B. Roux, Y. Won, G. Archontis, C. Bartels, S. Boresch, A. Caflisch, L. Caves, Q. Cui, A. R. Dinner, M. Feig, S. Fischer, J. Gao, M. Hodoscek, W. Im, K. Kuczera, T. Lazaridis, J. Ma, V. Ovchinnikov, E. Paci, R. W. Pastor, C. B. Post, J. Z. Pu, M. Schaefer, B. Tidor, R. M. Venable, H. L. Woodcock, X. Wu, W. Yang, D. M. York and M. Karplus, J. Comput. Chem., 2009, 30, 1545–1615 CrossRef CAS PubMed.
- G. Wu, D. H. Robertson, C. L. Brooks III and M. Vieth, J. Comput. Chem., 2003, 24, 1549–1562 CrossRef CAS PubMed.
- M. Vieth, J. D. Hirst, A. Kolinski and C. L. Brooks III, J. Comput. Chem., 1998, 19, 1612–1622 CrossRef CAS.
- C. L. Brooks and M. Karplus, J. Chem. Phys., 1983, 79, 6312–6325 CrossRef CAS PubMed.
- P. Sherwood, A. H. D. Vries, M. F. Guest, G. Schreckenbach, C. R. A. Catlow, S. A. French, A. A. Sokol, S. T. Bromley, W. Thiel, A. J. Turner, S. Billeter, F. Terstegen, S. Thiel, J. Kendrick, S. C. Rogers, J. Casci, M. Watson, F. King, E. Karlsen, M. Sjovoll, A. Fahmi, A. Schafer and C. Lennartz, J. Mol. Struct.: THEOCHEM, 2003, 632, 1–28 CrossRef CAS.
- R. Ahlrichs, M. Bär, M. Häser, H. Horn and C. Kölmel, Chem. Phys. Lett., 1989, 162, 165–169 CrossRef CAS.
- W. Smith and T. R. Forester, J. Mol. Graphics, 1996, 14, 136–141 CrossRef CAS.
- S. R. Billeter, A. J. Turner and W. Thiel, Phys. Chem. Chem. Phys., 2000, 2, 2177–2186 RSC.
- K. Burke, J. Werschnik and E. K. U. Gross, J. Chem. Phys., 2005, 123, 62206 CrossRef PubMed.
- A. D. MacKerell, D. Bashford, M. Bellott, R. L. Dunbrack, J. D. Evanseck, M. J. Field, J. Gao, H. Guo, S. Ha, D. Joseph-McCarthy, L. Kuchnir, K. Kuczera, F. T. K. Lau, C. Mattos, S. Michnick, T. Ngo, D. T. Nguyen, B. Prodhom, W. E. Reiher, B. Roux III, M. Schlenkrich, J. C. Smith, R. Stote, J. Straub, M. Watanabe, J. Wiórkiewicz-Kuczera, D. Yin and M. Karplus, J. Phys. Chem. B, 1998, 102, 3586–3616 CrossRef CAS PubMed.
- A. H. de Vries, P. Sherwood, S. J. Collins, A. M. Rigby, M. Rigutto and G. J. Kramer, J. Phys. Chem. B, 1999, 103, 6133–6141 CrossRef CAS.
- J. Baker, J. Comput. Chem., 1986, 7, 385–395 CrossRef CAS.
- D. C. Liu and J. Nocedal, Math. Program., 1989, 45, 503–528 CrossRef.
- H. P. Lu, L. Xun and X. S. Xie, Science, 1998, 282, 1877–1882 CrossRef CAS.
- W. Min, B. P. English, G. Luo, B. J. Cherayil, S. C. Kou and X. S. Xie, Acc. Chem. Res., 2005, 38, 923–931 CrossRef CAS PubMed.
- X. S. Xie, Science, 2013, 342, 1457–1459 CrossRef CAS PubMed.
- P. Saura, R. Suardíaz, L. Masgrau, J. M. Lluch and À. González-Lafont, ACS Catal., 2014, 4, 4351–4363 CrossRef CAS.
- R. Lonsdale, K. T. Houghton, J. Żurek, C. M. Bathelt, N. Foloppe, M. J. de Groot, J. N. Harvey and A. J. Mulholland, J. Am. Chem. Soc., 2013, 135, 8001–8015 CrossRef CAS PubMed.
- R. Lonsdale, J. N. Harvey and A. J. Mulholland, J. Phys. Chem. B, 2010, 114, 1156–1162 CrossRef CAS PubMed.
- Y. Li, X. Shi, Q. Zhang, J. Hu, J. Chen and W. Wang, Environ. Sci. Technol., 2014, 48, 5008–5016 CrossRef CAS PubMed.
- R. D. Bach, J. Phys. Chem. A, 2011, 115, 11087–11100 CrossRef CAS PubMed.
- M. Ortiz-Maldonado, D. P. Ballou and V. Massey, Biochemistry, 1999, 38, 8124–8137 CrossRef CAS PubMed.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c4ra16165c |
|
This journal is © The Royal Society of Chemistry 2015 |
Click here to see how this site uses Cookies. View our privacy policy here.