β-Lactam antibiotics are the mainstay for the treatment of bacterial infections. However, elevated resistance to these antibiotics mediated by metallo-β-lactamases (MBLs) has become a global concern.
KEYWORDS: microbial antibiotic resistance, metallo-β-lactamase, NDM-1, conformational change, structure-based drug design
ABSTRACT
β-Lactam antibiotics are the mainstay for the treatment of bacterial infections. However, elevated resistance to these antibiotics mediated by metallo-β-lactamases (MBLs) has become a global concern. New Delhi metallo-β-lactamase-1 (NDM-1), a newly added member of the MBL family that can hydrolyze almost all β-lactam antibiotics, has rapidly spread all over the world and poses serious clinical threats. Broad-spectrum and mechanism-based inhibitors against all MBLs are highly desired, but the differential mechanisms of MBLs toward different antibiotics pose a great challenge. To facilitate the design of mechanism-based inhibitors, we investigated the active-site conformational changes of NDM-1 through the determination of a series of 15 high-resolution crystal structures in native form and in complex with products and by using biochemical and biophysical studies, site-directed mutagenesis, and molecular dynamics computation. The structural studies reveal the consistency of the active-site conformations in NDM-1/product complexes and the fluctuation in native NDM-1 structures. The enzymatic measurements indicate a correlation between enzymatic activity and the active-site fluctuation, with more fluctuation favoring higher activity. This correlation is further validated by structural and enzymatic studies of the Q123G mutant. Our combinational studies suggest that active-site conformational fluctuation promotes the enzymatic activity of NDM-1, which may guide further mechanism studies and inhibitor design.
INTRODUCTION
β-Lactam antibiotics, including penicillins, cephalosporins, and carbapenems, constitute more than half of the antibiotics prescribed in clinical settings (1). However, the efficiency of these antibiotics is being continuously challenged by the emergence of resistant pathogenic bacteria, among which resistance to carbapenems is of extreme concern since carbapenems are considered the last resort for multidrug-resistant infections. β-Lactamases, which inactivate β-lactam antibiotics by hydrolyzing the β-lactam bonds (2), play a major role in antibiotic resistance (3, 4). Based on sequence similarity, β-lactamases can be divided into four classes (A, B, C, and D) (5). Enzymes in classes A, C, and D are serine-β-lactamases which harbor a serine residue at the active site to facilitate catalysis. And members of class B are metallo-β-lactamases (MBLs) that retain one or two zinc ions at the active site to facilitate β-lactam cleavage. MBLs are broad-spectrum β-lactamases, active against almost all β-lactams, including carbapenems and even the clinically used inhibitors of serine-β-lactamases (6). Furthermore, most of the circulating MBLs are encoded in a transferable plasmid which may be rapidly disseminated in different strains and even different species of bacteria through horizontal gene transfer (7). For example, New Delhi metallo-β-lactamase-1 (NDM-1) is a newly added member of the MBL B1 subclass, and since its first identification in 2009 (8), NDM-1-positive bacteria have been identified on all continents except Antarctica (9).
NDM-1 shows broad activity toward all β-lactam antibiotics except monobactams (8). Because of the rapid dissemination of NDM-1-positive bacteria not only in clinical settings but also in community environments (10, 11), they pose a serious threat to our health care system. Since the identification of NDM-1 in 2009, much effort has been put into its biochemical characterization (12–15), structural and mechanical studies (16–30), and inhibitor screening (31–35). It is highly desirable to find some potent specific inhibitors for NDM-1 or even broad-spectrum inhibitors for all MBLs. However, because of the structural diversity of MBL active sites, the continuous evolving of these enzymes, and the fact that very few residues are tightly constrained by function, the design of broad-spectrum MBL inhibitors is very challenging (6). Therefore, the design of MBL inhibitors may be best achieved by mimicking the focused nature of interactions observed in both substrate recognition and the catalytic mechanism (6) as in the case of serine β-lactamases. Unfortunately, the catalytic mechanism of NDM-1 is subtle, and some detailed roles of active-site residues are still under debate, such as substrate coordination (23, 26, 36), the individual roles of the two zinc ions, the identity and source of hydroxide for nucleophilic attack (16, 23, 26, 27), the protonation of β-lactam nitrogen after C-N bond cleavage (16, 23, 26), the source of the next hydroxide for enzymatic turnover (23, 26), etc. Recent spectroscopic and structural investigations made significant progress in the study of the mechanisms of MBLs but did not reach a consistent conclusion on the hydrolysis of carbapenems by NDM-1 (29, 37), suggesting the need for further study toward a mechanism-based broad-spectrum inhibitor design.
In this work, we investigated the conformational changes of the active site through the combination of crystallography, site-directed mutagenesis, enzymatic measurements, and in silico simulation. Our results indicate that a dynamic active site and its conformational fluctuation promote the enzymatic activity of NDM-1, findings which may guide future inhibitor design.
RESULTS
NDM-1 in complex with hydrolyzed antibiotics.
In our previous study (16), we solved the first NDM-1 structure in complex with a hydrolyzed ampicillin and noticed that the distance between the two zinc ions (Zn1-Zn2 distance) at the active site was 4.6 Å, which was much longer than the distances in other MBLs. We proposed that this longer distance might correlate with the relatively lower enzymatic activity of NDM-1 than other B1 MBLs (16). Hence, the longer distance might be an intrinsic property of NDM-1 in the product binding state. However, there is also a possibility that the longer distance is a crystallographic artifact. To clarify whether the longer distance is an intrinsic product binding property or crystallographic artifact, we determined a series of NDM-1/Amp structures under different crystallization conditions. As shown in Table 1, we recrystallized NDM-1 in complex with ampicillin under the same conditions as we previously reported and got the highest-resolution NDM-1/product structures produced until now (1.00 Å). While the improvement in resolution revealed more accurate details, we noticed that the new structures were almost identical to a previously solved structure at the active site (Fig. 1A). We further compared the structures determined from crystals under different conditions, such as at different pHs and with different precipitants. As shown by the first four structures in Table 1, although the structures were crystallized at different pHs and even in high salt, they are almost identical and can be superimposed, with root mean square deviation (RMSD) values ranging from 0.1 to 0.26 Å for all visible Cα atoms (see Fig. S1A for overall structure superposition). In addition to the overall structures, the active-site confirmations of these structures are also very consistent with those of a previously solved structure, with the Zn1-Zn2 distances ranging from 4.57 to 4.61 Å in eight NDM-1 molecules while the Zn1 to OH (Zn1-OH) and OH-Zn2 distances averaged 2.00 ± 0.05 Å and 3.01 ± 0.04 Å (Fig. 1B), respectively.
TABLE 1.
NDM-1 in complex with hydrolyzed products
| PDB accession no. | Complex | Resolution (Å) | M1-M2 distance(s) (Å)a | M1-OH distance(s) (Å)a | OH-M2 distance(s) (Å)a | Crystallization conditionsb | Reference and/or comment |
|---|---|---|---|---|---|---|---|
| 5ZGE | Ampicillin | 1.00 | 4.60, 4.61 | 2.08, 2.09 | 2.98, 2.94 | 0.1 M Bis-Tris, pH 5.5, 0.2 M Li2SO4, 25% PEG 3350 | This work |
| 5ZGP | Ampicillin | 1.15 | 4.59, 4.59 | 1.97, 1.94 | 2.99, 3.04 | 0.1 M Bis-Tris pH 6.2, 0.2 M Li2SO4, 15% PEG 3350, 20 mg/ml ampicillin | This work |
| 5ZGR | Ampicillin | 1.15 | 4.59, 4.59 | 1.98, 1.99 | 3.01, 3.04 | 0.1 M HEPES, pH 7.3, 20% PEG 3350, 20 mg/ml ampicillin | This work |
| 5ZGQ | Ampicillin | 1.50 | 4.58, 4.57 | 1.99, 1.97 | 3.04, 3.04 | 0.1 M Tris-HCl, pH 7.5, 25% PEG 4000, 0.7 M (NH4)2SO4, 20mg/ml ampicillin | This work |
| 4EY2 | Methicillin | 1.17 | 4.57, 4.58 | 1.95, 1.97 | 2.99, 3.00 | 0.2 M MgCl2, 25% PEG 3350, 0.1 M Bis-Tris, pH 5.5 | 22 |
| 4EYB | Oxacillin | 1.16 | 4.54, 4.55 | 1.98, 1.96 | 2.94, 2.98 | 0.2 M MgCl2, 25% PEG 3350, 0.1 M Bis-Tris, pH 5.5 | 22 |
| 4EYF | Benzylpenicillin | 1.8 | 4.63, 4.61 | 1.98, 1.93 | 3.11, 3.08 | 0.2 M MgCl2, 25% PEG 3350, 0.1 M Bis-Tris, pH 5.5 | 22 |
| 4RL2 | Cefalexin | 2.01 | 4.48, 4.55 | 1.83, 2.00 | 2.99, 2.78 | 28% (wt/vol) PEG 3350, 0.1 M Bis-Tris, pH 5.8, 0.2 M (NH4)2SO4 | 27 |
| 4H0D | Ampicillin | 1.5 | 4.48, 4.49 | 2.08, 2.09 | 2.79, 2.79 | 0.2 M NaCl, 0.1 M HEPES, pH 7.5, 25 % (wt/vol) PEG 3350, 10 mM MnCl2 | 23 |
| 4HL2 | Ampicillin | 1.05 | 4.60, 4.60 | 1.94, 1.96 | 3.04, 3.04 | 0.2 M (NH4)2SO4, 0.1 M Bis-Tris, pH 5.5, 25% PEG 3350, 100 mM ampicillin | 23 |
| 4RAW | Ampicillin | 1.3 | 4.59, 4.60 | 2.05, 2.07 | 2.98, 2.97 | 0.2 M NaCl, 0.1 M Tris, pH 7.0, 30% PEG 3000, 5 mM CdCl2, 200mg/ml ampicillin | Cd1-Cd2 at active site M67V |
| 4RL0 | Cefuroxime | 1.3 | 3.81, 3.83 | 2.01, 2.03 | 2.16, 2.17 | 30% PEG 3350, 0.1 M Bis-Tris, pH 6.0, 0.2 M Li2SO4 | 27; C8 Coo− did not coordinate to zn1 |
| 4EYL | Meropenem | 1.9 | 4.05, 3.88 | 1 M trisodium cacodylate, 0.1 M sodium cacodylate, pH 6.5 | 22; C7 Coo− intercalates between two Zn ions | ||
| 5N0H | Meropenem | 1.9 | 4.01, 3.83 | 2.04, 2.08 | 2.66, 2.15 | 1 M trisodium cacodylate, 0.1 M sodium cacodylate, pH 6.5 | Intercalates between two Zn ions |
| 4RBS | Meropenem | 2.4 | 4.00, 4.00 | 2.8 M sodium acetate, pH 7.0 | C3 Coo− did not coordinate to Zn2 | ||
| 5YPK | Imipenem | 2.0 | 3.87–4.15 | 28% (wt/vol) PEG 3350, 0.1 M Bis-Tris, pH 5.8, 0.2 M ammonium sulfate | 29; EI2 | ||
| 5YPI | Imipenem | 2.3 | 4.03–4.25 | 28% (wt/vol) PEG 3350, 0.1 M Bis-Tris, pH 5.8, 0.2 M ammonium sulfate | 29; EI1 | ||
| 5YPL | Imipenem | 1.8 | 3.89, 3.86 | 28% (wt/vol) PEG 3350, 0.1 M Bis-Tris, pH 5.8, 0.2 M ammonium sulfate | 29; EP, intercalation | ||
| 5YPM | Meropenem | 2.15 | 3.93–4.30 | 28% (wt/vol) PEG 3350, 0.1 M Bis-Tris, pH 5.8, 0.2 M ammonium sulfate | 29; EI1 | ||
| 5YPN | Meropenem | 2.12 | 4.08, 4.31 | 28% (wt/vol) PEG 3350, 0.1 M Bis-Tris, pH 5.8, 0.2 M ammonium sulfate | 29; EI2 |
Different values represent different monomers. M1 and M2 are metal ions 1 and 2, respectively.
PEG, polyethylene glycol.
FIG 1.

Active-site conformation of NDM-1 in complex with hydrolyzed ampicillin crystallized at pH 5.5 (A) and superposition of the active sites of NDM-1 crystallized under different conditions (B). Active-site residues and hydrolyzed ampicillin are shown as ball-and-stick models. Carbons in active residues are shown in gray, and those in hydrolyzed ampicillin molecules are shown in green and cyan in panels A and B, respectively. Zinc ions and hydroxide are shown as gray and red balls, respectively. Coordination bonds between zinc ions and active-site residues are shown as yellow dashed lines. The Zn1-OH, OH-Zn2, and Zn1-Zn2 distances are 2.1, 3.0, and 4.6Å (shown as red dashed lines), respectively.
After our first report of the NDM-1/ampicillin (Amp) structure, several structures of NDM-1 in complex with other hydrolyzed antibiotics were also reported, as listed in Table 1. For NDM-1 in complex with methicillin (PDB accession number 4EY2 [22]), oxacillin (4EYB [22]), benzylpenicillin (4EYF [22]), cephalexin (4RL2 [27]), and ampicillin (4H0D [23], 4HL2 [23], and 4RAW), the overall structures are very similar, with RMSD values ranging from 0.10 to 0.36 Å for all the superimposed Cα atoms (Fig. S1B). For the active sites of these structures, Zn1-Zn2 distances ranged from 4.48 to 4.63 Å (average value of 4.56 ± 0.05 Å) while the distances of Zn1-OH and OH-Zn2 were 1.98 ± 0.07 Å and 2.96 ± 0.10 Å (Fig. S2A), respectively. The active-site conformations observed in these structures are almost identical to those determined in our studies.
However, for structures of NDM-1 in complex with hydrolyzed meropenem (PDB accession number 4EYL [22], 5N0H, and 4RBS), the Zn1-Zn2 distances were a little bit shorter (ranging from 3.83 to 4.05 Å with an average of 3.96 ± 0.09 Å). Inspection of these structures revealed that the hydrolyzed meropenem did not bind the active site in the same way as other hydrolyzed antibiotics (Fig. S2A), with either the newly generated carboxylate group intercalating between the two zinc ions (PDB accession numbers 4EYL and 5N0H) or the side ring carboxylate group not coordinated to Zn2 (PDB accession numbers 4EYL and 4RBS) (Fig. S2B). The intercalated conformation might be a rare binding state during product release, which was also suggested by the quantum mechanics/molecular mechanics (QM/MM) calculation (38) as a rare inhibition state.
The structure of NDM-1 in complex with a reaction intermediate of cefuroxime (PDB accession number 4RL0 [27]) showed shorter Zn1-Zn2 distances (3.81 and 3.83 Å for two monomers) and OH-Zn2 distances (2.16 and 2.17 Å for two monomers). Active-site inspection revealed that the newly generated carboxylate group did not coordinate to Zn1 as other products did. The shorter distance observed in this structure might be attributed to the reaction intermediate, which needs further investigation.
Overall, in all NDM-1 structures with the hydrolyzed antibiotics coordinated to the active site in a product binding state, the Zn1-Zn2, Zn1-OH, and OH-Zn2 distances are very consistently found to be 4.6, 2.0, and 3.0 Å, respectively. This conformation should be an intrinsic NDM-1/product binding state and not a crystallographic artifact.
NDM-1 in native form.
Since the identification of NDM-1 in 2009, many structures of NDM-1 in native form and in complex with antibiotics have been solved. Some of the reported structures showed no metal, monometal (19), or no properly coordinated residue-metal interactions at the active site (39). NDM-1 with a Zn-Cd substitution (20) (PDB accession number 3ZR9) was obtained at pH 7.5 with a Zn-Cd distance of 3.64 Å, while another structure (18) (PDB accession number 3SPU) obtained at pH 8.5 reported 5 molecules in the asymmetric unit and Zn1-Zn2 distances ranging from 3.56 to 3.97 Å. It was then proposed that the Zn1-Zn2 distance was affected by different pHs (23). To reveal a clear and more accurate active site of native NDM-1 and what kind of factors can affect the active site conformation, we determined a series of native NDM-1 structures under different conditions, including crystal packing, buffer components, and pH variations.
Effect of crystal packing.
In our search for native NDM-1 crystallization conditions, two crystal forms were obtained, with form 1 retaining one molecule in the asymmetric unit and diffracted up to 0.95-Å resolution while form 2 harbored two molecules and diffracted between 1.05 and 1.55 Å, depending on the crystallization precipitants (Table 2). For crystals of form 2, although they were obtained at different pHs and with different buffer components (HEPES at pH 7.0 and pH 7.5, imidazole at pH 7.5, and Tris at pH 8.0), the active-site conformations were strikingly identical (Fig. 2A and S3) with Zn1-Zn2, Zn1-OH, and OH-Zn2 distances of 3.39 to 3.43 Å, 1.93 to 2.11 Å, and 1.95 to 2.13 Å, respectively (Table 2). The Zn1-Zn2 distance is also consistent with the one measured by an extended X-ray absorption fine-structure study (3.38Å) (21). However, when we compared the structures of NDM-1 in forms 1 and 2 obtained in the same buffer and at the same pH (imidazole, pH 7.5; PDB accession numbers 5ZGZ and 5ZH1), we noticed that the Zn1-Zn2 distance in form 1 was 3.62 Å while the distances in form 2 for two different monomers were 3.41 and 3.42 Å. The only difference between these two crystals is crystal packing, and so the Zn1-Zn2 distance is clearly affected by crystal packing.
TABLE 2.
Active-site conformations of native NDM-1 structures
| PDB accession no. | Comment | Resolution (Å) | M1-M2 distance (Å)a | M1-OH distance (Å)a | OH-M2 distance (Å)a | Coordinate error (Å) | Reference |
|---|---|---|---|---|---|---|---|
| 5XP6 | Native, form 1, succinate, pH 5.5 | 0.95 | 3.95 | 1.92 | 2.55 | 0.009 | This work |
| 5ZGI | Native, form 1, succinate, pH 6.5 | 0.98 | 3.78 | 1.93 | 2.35 | 0.011 | This work |
| 5ZGX | Native, form 1, succinate, pH 7.5 | 0.95 | 3.59 | 1.96 | 2.09 | 0.010 | This work |
| 5ZGW | Native, form 1, succinate, pH 7.5 (back soaked from pH 5.5) | 0.95 | 3.53 | 1.97 | 2.02 | 0.011 | This work |
| 5ZGF | Q123G, form 1, succinate, pH 7.5 | 1.20 | 3.84 | 1.90 | 2.43 | 0.029 | This work |
| 5ZGZ | Native, form 1, imidazole, pH 7.5 | 0.95 | 3.62 | 1.98 | 2.04 | 0.011 | This work |
| 5ZGY | Native, form 1, Bis-Tris, pH 7.5 | 0.95 | 3.49 | 1.96 | 2.00 | 0.011 | This work |
| 5ZGU | Native, form 2, HEPES, pH 7.0 | 1.55 | 3.43, 3.42 | 2.11, 2.11 | 2.13, 2.12 | 0.049 | This work |
| 5ZGT | Native, form 2, HEPES, pH 7.5 | 1.20 | 3.42, 3.39 | 2.05, 2.04 | 2.07, 2.05 | 0.020 | This work |
| 5ZH1 | Native, form 2, Imidazole, pH 7.5 | 1.05 | 3.41, 3.42 | 1.93, 1.95 | 1.96, 1.95 | 0.022 | This work |
| 5ZGV | Native, form 2, Tris, pH 8.0 | 1.15 | 3.43, 3.40 | 2.05, 2.06 | 2.06, 2.07 | 0.021 | This work |
| 3SPU | Ammonium sulfate, pH 8.5 | 2.1 | 3.84, 3.88, 3.97, 3.84, 3.56 | 2.54, 1.93, 2.11, 2.08, 1.98 | 2.46, 2.60, 2.20, 2.37, 2.09 | 18 | |
| 3ZR9 | Zn-Cd, pH 7.5 | 1.91 | 3.64 | 1.93 | 2.38 | 20 | |
| 5JQJ | Mutant, MgSO4, pH 6.75 | 1.67 | 3.61 | 1.89 | 2.21 | ||
| 4TZE | NDM-5, pH 7.5 | 1.57 | 3.49, 3.56 | 2.05, 2.05 | 2.07, 2.07 | ||
| 4TZF | NDM-8, Bis-Tris, pH 5.5 | 1.22 | 3.70 | 2.00 | 2.13 | ||
| 4TYF | NDM-4, pH 7 | 1.10 | 3.54 | 1.89 | 2.03 | ||
| 4RM5 | D124N, Tris, pH 7.5 | 2.1 | 4.01, 4.10, 4.10, 4.11 | 2.61, 2.53, 2.85, 2.58 | 2.60, 2.72, 2.72, 2.57 | 27 |
Different values represent different monomers. M1 and M2 are metal ions 1 and 2, respectively. Significant values for the Q123G mutant are in boldface.
FIG 2.
Active-site conformations of native NDM-1. Active-site residues are shown as ball-and-stick models while zinc ions and hydroxide at the active site are shown as spheres. Coordination bonds are shown as yellow dashed lines. (A) Superposition of the active sites of 8 native NDM-1 molecules crystallized in form 2. The active-site conformations are strikingly identical among structures from different crystallization conditions, especially the Zn1-OH, OH-Zn2, and Zn1-Zn2 conformations and distances. (B) Superposition of active sites of native NDM-1 crystallized in form 1 at pH 5.5, 6.5, and 7.5 in succinate buffers. The zinc ions, hydroxide ion, and carbon atoms in residue H250 are shown in green, cyan, red, and magenta for crystals at pH 5.5, 6.5, 7.5, and 7.5 backsoak (crystals of pH 5.5 soaked at pH 7.5), respectively. Residue H250 pushes Zn2 to the active center along with a pH increase. Residue D124 adjusts its side chain carboxylate group accordingly to coordinate to Zn2.
Effect of buffer components.
Next, we compared the structures of form 1 obtained at pH 7.5 but prepared with different buffer components (imidazole, Bis-Tris, and succinate). Despite being crystallized at the same pHs, these structures showed different Zn1-Zn2 distances of 3.62 Å in imidazole, 3.59 and 3.53 Å for two structures solved individually in succinate, and 3.49 Å in Bis-tris (Table 2). Although the differences are subtle, they can be repeatedly observed, indicating that different buffer components do affect the active site conformations.
Effect of different pHs.
We then examined the pH effect on the active site of NDM-1. To avoid the buffer component effect, all the NDM-1 structures were determined in the same buffer components but at different pHs. The crystals could be easily obtained by seeding in Bis-Tris buffer at different pHs but with unidentifiable electron densities at the active sites at a lower pH (probably Bis-Tris, but the density could not be clearly modeled). To avoid potential perturbation of Bis-Tris to the active site, we then optimized the crystallization in succinate buffer and got crystals at pH 5.5, 6.5, and 7.5. Although succinate was observed at the active site in crystals at pH 5.5 and 6.5, it can be clearly modeled with one hydroxyl group coordinated to Zn2 and substituting an apical water. This kind of interaction did not affect the other coordination bonds at the active site (Fig. S4). Comparison of structures in succinate at pH 5.5, 6.5, and 7.5 (Fig. 2B) revealed a prominent decrease of the Zn1-Zn2 distances from 3.95 and 3.78 to 3.59 Å (Table 2). To further confirm this pH effect, crystals obtained at pH 5.5 were soaked in a cryo-protectant at pH 7.5, which yielded a structure with the Zn1-Zn2 distance changed from 3.95 to 3.53 Å, indicating a consistent pH effect on the active site. In addition to the clear tendency of Zn1-Zn2 distances changing according to different pHs, we also observed a decrease in the OH-Zn2 distance along with the pH increase, which is consistent with the Zn1-Zn2 changes (Table 2). However, Zn1-OH distances remained almost identical in all crystals that we obtained and that were reported by others (1.99 ± 0.07 Å). Although in some structures this hydroxide was modeled as a water molecule, the shorter distance with Zn1 in all of the structures indicates that it should be a hydroxide. Furthermore, QM/MM study showed that if a water molecule coordinates between the two zinc ions, the distance of Zn1-Zn2 will be 5.6 Å (23), which is much longer than the distances of all currently observed active sites. The observed shorter Zn1-OH distance is also consistent with the mostly accepted idea that this hydroxide is mainly activated by Zn1 and acts as a nucleophile during the C-N bond break of β-lactam hydrolysis.
MD simulations.
The distances of Zn1-Zn2 observed in different NDM-1 structures were also assessed by in silico calculations. Molecular dynamics (MD) simulations starting from the enzyme/hydrolyzed ampicillin structures (PDB accession numbers 5ZGE, 5ZGP, and 5ZGR) were run to compare with experimental results. The energy-minimized structures under different pH states presented similar Zn1-Zn2 distances of 4.7 Å (pH 5.5), 4.7 Å (pH 6.2), and 4.8 Å (pH 7.3). These results are very close to the experimentally determined distance of 4.6 Å and do not show pH dependence. The differences in Zn1-Zn2 distances observed in native NDM-1 at different pHs were also supported by our molecular dynamics analyses. Energy minimization showed different Zn1-Zn2 distances of 3.9 Å (pH 5.5), 3.7 Å (pH 6.5), and 3.5 Å (pH 7.5). Despite subtle differences, the tendency of Zn1-Zn2 distances to change is consistent with the experimentally observed values. Previous QM/MM studies also calculated Zn1-Zn2 distances of 3.58 Å (12), 3.60 Å (23), and 3.62 Å (40) in native NDM-1 molecules although pH values were not reported in these studies. We also modeled an intact ampicillin molecule into the active site of native NDM-1 and performed MD simulations at different pHs, which yielded Zn1-Zn2 distances of 4.8Å (pH 5.5), 3.8Å (pH 6.5), and 3.4Å (pH 7.5). The consistent decrease in Zn1-Zn2 distances in NDM-1/ampicillin models along with a pH increase is similar to that observed for native unbound NDM-1 and correlates well with the enzymatic activity of NDM-1 at different pH values (discussed later).
Overall, our results reveal that the longer distance in enzyme/hydrolyzed penam or cephalosporin complexes is an intrinsic feature of NDM-1 and that Zn1-Zn2 distance in the native enzyme is affected by crystal packing, pH, and buffer components. Next, we examined if the Zn1-Zn2 distance variation affects the enzymatic activity of NDM-1.
Enzymatic study of NDM-1.
We first measured the enzymatic activity of wild-type NDM-1 at different pHs (5.5, 6.5 and 7.5) which were prepared with succinate in all cases to avoid the influence of buffer components. Imipenem was used as the substrate, and the kcat values of NDM-1 at pH 5.5, 6.5, and 7.5 were 1,283, 2,060, and 3,960 s−1, respectively, representing roughly a 2-fold change for each pH increase (Km and kcat/Km parameters are listed in Table 3). The same pattern of increase was also observed using a buffer prepared with Bis-Tris in our assays and in other reports (23) although the specific values are different depending on substrates and assay conditions. It is interesting that along with the pH increase, the enzymatic activity increases while Zn1-Zn2 distance decreases. In general, buffer pH may affect enzyme activity through charge changes on residues at the active site, which may influence all the steps involved in enzyme catalysis, including substrate binding, intermediate formation, and product release. The facts that almost identical zinc coordination bonds, in particular the Zn1-OH distances (1.99 ± 0.07 Å), and geometries are kept in all native structures obtained in different pHs (Table S3) and that identical product-enzyme interactions are also observed in structures at different pHs (Fig. 1) indicate that the charge effect on the active-site residues might be very subtle or indirect. The only obvious conformational change observed in these native structures at different pHs is the Zn1-Zn2 distance variation. Through careful structural comparison, we noticed that the Zn2 coordination residue H250 progressively pushes Zn2 toward the active center as the pH changes from low to high (Fig. 2B). Residue H250 locates at the tip of loop 12, which is relatively mobile among the structures at different pHs and has several charged residues at the other end. Through this long-range interaction, we speculate that pH may fine-tune Zn2 position and hence affect the enzymatic activity of NDM-1.
TABLE 3.
Enzymatic characterization of wild-type and mutant NDM-1using imipenem as substrate
| Protein (buffer) | pH | kcat (s−1) | Km (μM) | kcat/Km (M−1 s−1) |
|---|---|---|---|---|
| WT (succinate) | 5.5 | 1,283 ± 85 | 337 ± 44 | 3.82 × 106 |
| 6.5 | 2,060 ± 245 | 523 ± 103 | 3.94 × 106 | |
| 7.5 | 3,960 ± 160 | 1415 ± 72 | 2.80 × 106 | |
| WT (HEPES) | 7.5 | 1,815 ± 104 | 560 ± 52 | 3.24 × 106 |
| A121F (HEPES) | 7.5 | 221 ± 5.6 | 55 ± 4.6 | 4.02 × 106 |
| Q123G (HEPES) | 7.5 | 686 ± 38 | 201 ± 28 | 3.41 × 106 |
Mutagenesis studies to modulate the enzymatic activity and active-site conformation.
To further validate this speculation and test if modulation of the Zn1-Zn2 distance may affect enzyme activity, site-directed mutants of NDM-1 were generated, and their enzymatic activities were measured. To avoid possible perturbation of the active-site coordination and substrate binding, only second-shell residues of the active site were mutated. Through careful structural inspection, residues A121 and Q123 were selected for mutagenesis studies. While both A121F and Q123G showed lower enzymatic activities, only Q123G was successfully crystallized. As shown in Table 3, the kcat value for the Q123G mutant was 686 s−1, much lower than that of wild-type NDM-1 under the same assay condition (1,814 s−1).
The active-site flexibility of the Q123G mutant was evaluated experimentally by measuring the Zn1-Zn2 distance in high-resolution crystal structures. We successfully determined the structure of the Q123G mutant at pH 7.5 in succinate buffer at a resolution of 1.2Å. The overall structure of Q123G superimposed well on that of wild-type NDM-1, with an RMSD value of 0.44 Å for all Cα atoms, and only minor flexibility in L3 loop was observed (Fig. 3A). The Q123G substitution did not perturb the active-site conformations or the interactions around Q123 in wild-type NDM-1 (Fig. 3B). The Zn1-Zn2 distance in the Q123G mutant was measured to be 3.84 Å, a value longer than that of wild-type NDM-1 at pH 7.5 (3.59 and 3.53Å for two structures solved individually under the same conditions) and near that of wild-type NDM-1 at pH 6.5 (3.78Å). The enzymatic activity of the Q123G mutant is much lower than that of wild-type NDM-1 at pH 7.5 but near the proportional value of NDM-1 at pH 6.5. In our enzymatic assay, imipenem was used as the substrate. Measuring from the recently published structure of NDM-1 in complex with imipenem (29), the side chain of residue Q123 makes no contacts with imipenem and therefore would not affect its binding with the active site or the release of hydrolyzed product. The activity decrease of the Q123G mutant should be solely attributed to the increase of Zn1-Zn2 distance, validating our notion that modulation of the Zn1-Zn2 distance will affect the enzymatic activity of NDM-1.
FIG 3.

Structural comparison between wild-type and Q123G mutant NDM-1 molecules. Q123G mutant NDM-1 was superimposed onto wild-type NDM-1 (with succinate, pH 7.5) (PDB accession number 5ZGW). Active-site residues are shown as ball-and-stick models while zinc ions and hydroxide at the active site are shown as spheres. Coordination bonds are shown as yellow dashed lines. (A) Overall structural superimposition. L3 loops show flexibility between these two structures. (B) Active-site superimposition. The zinc ions, hydroxide ion, and carbon atoms in residue H250 are shown in cyan and magenta for Q123G and wild-type NDM-1, respectively. The Q123G substitution did not obviously perturb the active-site conformation. The Zn1-Zn2 distance in Q123G is longer than that in wild-type NDM-1.
DISCUSSION
As revealed in the crystallographic structures, the active site of NDM-1, especially that of Zn1-Zn2, is in a dynamic or oscillation state, depending on environmental factors such as crystal packing, pH, and buffer components. This was also observed in a single crystal (18) (PDB accession number 3SPU) where there are five molecules in the asymmetric unit with five different Zn1-Zn2 distances ranging from 3.56 to 3.97 Å. Our enzymatic assays clearly showed that the Zn1-Zn2 distance correlates to the enzymatic activity of NDM-1, with the shorter Zn1-Zn2 distance in native NDM-1 associated with higher enzymatic activity. Interestingly, the Zn1-Zn2 distances in enzyme/product complexes are all at the same value of 4.6 Å. Thus, the relation of distance to enzymatic activity can be stated as follows: a bigger fluctuation (shorter Zn1-Zn2 distance) will favor higher enzymatic activity, or, in other words, the fluctuation of Zn1-Zn2 promotes the enzymatic activity of NDM-1. The oscillation of Zn1-Zn2 distance during the enzymatic turnover was observed in mechanism studies of the subclass B3 MBL L1 (41) and QM/MM calculations of NDM-1 (24, 36), but here we determined for the first time that such oscillations affect enzymatic turnover.
In a previous mutagenesis and structural study of another B1 MBL, β-lactamase II from Bacillus cereus, BCII, Vila and coworkers also noticed that the active-site conformational changes correlated with the enzymatic activity of BCII and proposed that fine-tuning of the Zn2 position was responsible for the change in BCII activity (42–44). Comparison among the wild-type and mutant BCII structures shows that the Zn1-Zn2 distances in activity-impaired BCII (BCII/HD, a double mutant; PDB accession number 2NYP), wild-type BCII (1BCII; 4C09), and activity-enhanced BCII (M5; 3FCZ) are 4.73, 3.50 and 3.85 (for different monomers), and 3.32 Å, respectively. The relationship between enzymatic activity and Zn1-Zn2 distance in BCII well supports our notion that in NDM-1 a shorter Zn1-Zn2 distance favors higher activity. Although fine-tuning of the Zn2 position can also explain the structure-activity relationship, Zn1-Zn2 distance variation is more specific. Considering that Zn1 also contributes to the conformational changes, albeit less than Zn2 (Fig. 2B), Zn1-Zn2 distance variation seems more accurate to explain current observations.
It is well known that conformational fluctuations are essential for substrate binding and product release and can even be a rate-limiting step in enzymatic reactions. However, the role of conformational fluctuation along the reaction pathway was not well recognized. In this study, through series of crystallographic, biochemical, and biophysical studies and simulation analyses, we presented a dynamic active site of NDM-1 which correlates well with its enzymatic activity and proved that conformational fluctuation of the active site facilitates the enzymatic reaction. This phenomenon was also observed in dihydrofolate reductase, where conformational fluctuation of an active-site loop enhances its activity (45). In contrast to the covalently bonded active-site residues in dihydrofolate reductase, the conformational fluctuation of the active site in NDM-1 is mainly presented by two noncovalently bonded metal ions. The active-site fluctuation may facilitate the enzyme's sampling of high-energy conformational substrates that are conducive to forming the transition state and promoting the enzymatic reaction (45). Our combinational studies reveal that modulation of the active-site fluctuation affects the enzymatic activity of NDM-1, which may provide clues for future inhibitor design. For example, Zn1-Zn2 fluctuation may be restricted to a certain state by coordinating chemicals such as substrate analogues, as shown in a recent study (32, 46).
In summary, through the combination of crystallographic determination, biochemical and biophysical measurements, site-directed mutagenesis, and in silico simulation, our results reveal the following: (i) that the longer distance of Zn1-Zn2 (4.6 Å) in an enzyme/product complex is an intrinsic feature of NDM-1; (ii) that the Zn1-Zn2 distance in native NDM-1 varies depending on external factors such as crystal packing, pH, and buffer components; (iii) that the variation of Zn1-Zn2 distance affects the enzymatic activity of NDM-1, with a shorter distance favoring higher enzymatic activity.
MATERIALS AND METHODS
Protein expression, purification, and site-directed mutagenesis.
Wild-type NDM-1 (G29-R270) was cloned into a His-maltose binding protein (MBP) vector to facilitate protein folding and purification. The fusion construct was expressed in Escherichia coli BL21(DE3), and the cells were allowed to grow to an optical density at 600 nm (OD600) of 0.6, followed by induction with 0.5 mM isopropyl-β-d-thiogalactopyranoside (IPTG) overnight at 16°C. After centrifugation, the cell pellet was suspended in lysis buffer consisting of 20 mM HEPES, pH 7.4, and 0.5 M sodium chloride for sonication. The supernatant was loaded onto a nickel-nitrilotriacetic acid (NTA) chromatography column (GE Health Care), and NDM-1 was purified by an imidazole gradient. Effluents from the nickel column were further purified by an MBP column. The fusion tag was cleaved with tobacco etch virus (TEV) protease and separated from NDM-1 by passage through a Ni-NTA column again. NDM-1 was in the flowthrough fraction and was further purified by a Q-Sepharose ion exchange column (GE Health Care) at pH 7.0 with a sodium chloride gradient from 0 to 0.3 M. The purified protein was buffer exchanged into 50 mM NaCl and concentrated to 100 mg/ml (measured at an OD280 using an extinction coefficient of 27,960) for later use.
For site-directed mutagenesis, wild-type NDM-1 was used as the template, and the mutations were introduced using the quick-change method. The mutants were confirmed by sequencing, and the expression and purification of the mutant proteins were performed in the same manner as that for wild-type NDM-1.
Crystallization, diffraction data collection, and structure refinement.
Wild-type NDM-1 crystals were screened by the sitting-drop vapor diffusion method. NDM-1 in complex with ampicillin crystals was observed under several conditions and further optimized by the hanging-drop method. Crystals for native NDM-1 were obtained in two forms, with form 1 having one molecule per asymmetric unit and form 2 having two molecules per asymmetric unit. The detailed crystallization and cryo-protection conditions are listed in Table S1 in the supplemental material. All crystals were cryo-protected and then flash frozen in liquid nitrogen. The diffraction data were collected at 100 K on station BL17U1 or BL19U1 at the Shanghai Synchrotron Radiation Facility and processed with HKL2000 software (47). The structures were solved by the molecular replacement method using the previously solved NDM-1/Amp complex (16) (PDB accession number 3Q6X) as the search model. The models were refined with Refmac (48, 49) in the CCP4 suite (50) and then cycled with rebuilding in Coot (51). TLS (translation-libration-screw) refinement (52) was incorporated into the later stages of the refinement process. Solvents were added automatically in Coot and then manually inspected and modified. The final models were analyzed with MolProbity (53) and showed that almost all amino acid residues were in favored regions of the Ramachandran plot while residue D90 was in a forbidden region, as noticed previously (16). Data collection and model refinement statistics for all data sets are summarized in Table S2.
Enzymatic activity measurement.
Hydrolysis of antibiotics by wild-type and mutant NDM-1 was monitored by detecting a reduction in the absorbance that resulted from the opening of the β-lactam ring using imipenem as the substrate (39). Activity for the pH dependence of wild-type NDM-1 was measured in a reaction buffer containing 50 mM succinate (pH 5.5, 6.5, or 7.5), 100 mM NaCl, 50 μM ZnCl2, 10 μg/ml bovine serum albumin (BSA), 50 nM NDM-1, and various concentrations of imipenem. The comparison of enzymatic activities between wild-type and mutant NDM-1 molecules was assayed in a reaction buffer containing 50 mM HEPES (pH 7.5), 100 mM NaCl, 100 μM ZnCl2, 10 μg/ml BSA, 50 nM enzymes, and various concentrations of imipenem. All the experiments were performed at 25°C, and the A300 value was immediately measured using a Perkin Elmer EnSpire spectrophotometer. Kinetic parameters were determined by plotting the initial velocities against substrate concentrations and curve fitting with GraphPad Prism, version 5, software. All measurements were repeated three times, and the average values are presented.
Simulation.
The native models were taken from the crystal structures solved in succinate buffer at pH 5.5, 6.5, and 7.5. The enzyme/product models were taken from structures solved at pH 5.5 (PDB accession number 5ZGE), pH 6.2 (5ZGP), and pH 7.3 (5ZGR). The structure of the NDM-1 in complex with hydrolyzed ampicillin was superimposed onto the native models. The coordinates of hydrolyzed ampicillin were kept, and the chemical structure was modified to generate the substrate ampicillin. Then we determined the initial models of three enzyme-substrate systems at different pHs. All the water, solvent, and succinate molecules in the crystal structures were removed from the initial models, and the shared coordination hydroxide was kept. Polar hydrogens were added to the systems using the H++ web server (54).
MD simulations were carried out using Amber 12 (55). The script MCPB.py (56) was applied to generate parameters of the above models for further MD simulations. The ff14SB force field was used for the protein systems (57). Each model was then solvated in a periodic box surrounded by TIP3P water molecules at a distance of no less than 10 Å (58). Counter ions were added to maintain neutral charge of systems. To remove possible poor contacts between the solute and solvent, energy minimizations using a combination of the steepest descent and conjugated gradient method were performed. For models with ampicillin, each system was subjected to a slow heating process for 500 ps from 0 to 300 K and then equilibrated for 500 ps under an NPT (fixed number of atoms, pressure, and temperature) ensemble at a constant temperature of 300 K. Finally, production MD simulations were conducted for 20 ns. The Sander program was used to conduct the MD simulation at constant temperature (300 K) and pressure (1.0 atm) with a time step of 1 fs. The nonbonded cutoff was set to 12.0 Å, and electrostatic interactions were calculated using the particle-mesh Ewald method (59). The SHAKE algorithm (60) was used to constrain bonds involving hydrogen atoms.
Accession number(s).
The coordinates and structure factors were deposited in the Protein Data Bank under the following accession numbers: 5ZGE, 5ZGP, 5ZGQ, 5ZGR, 5ZGU, 5ZGT, 5ZH1, 5ZGV, 5ZGZ, 5ZGY, 5XP6, 5ZGI, 5ZGX, 5ZGW, and 5ZGF.
Supplementary Material
ACKNOWLEDGMENTS
This work was supported by a Natural Science Foundation of China grant (31670753 to H.Z.), the Guangdong Science and Technology Program (2017B030301018 to H.Z.), research grants from Shenzhen Science and Technology Innovation Committee (JCYJ20160608140912962 and ZDSYS20140509142721429 to H.Z.), the Health and Medical Research Fund of Hong Kong (15140992 to Q.H.), Hong Kong RGC grants (C5026-16G and AoE/P-705/16 to Q.H.), the Natural Science Foundation of Guangdong Province (2016A030313053 to L.Z.), and the Special Fund for Development of Strategic Emerging Industries in Shenzhen (JCYJ20160520174823939 to L.Z.).
We thank the staff from the BL17U1 and BL19U1 beamlines at Shanghai Synchrotron Radiation Facility for technical support.
H.Z. and Q.H. designed the experiments. H.Z. and G.M. performed the crystallography work. Y.Z., C.W., B.P., H.F., and L.Z. performed the biochemical and biophysical assays. L.Z. and A.A. performed the computation work. H.Z. and Q.H. wrote the manuscript. All authors approved the manuscript.
We declare that we have no conflicts of interest in the contents of this article.
Footnotes
Supplemental material for this article may be found at https://doi.org/10.1128/AAC.01579-18.
REFERENCES
- 1.Drawz SM, Bonomo RA. 2010. Three decades of beta-lactamase inhibitors. Clin Microbiol Rev 23:160–201. doi: 10.1128/CMR.00037-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Page MI. 1999. The reactivity of beta-lactams, the mechanism of catalysis and the inhibition of beta-lactamases. Curr Pharm Des 5:895–913. [PubMed] [Google Scholar]
- 3.Fisher JF, Meroueh SO, Mobashery S. 2005. Bacterial resistance to beta-lactam antibiotics: compelling opportunism, compelling opportunity. Chem Rev 105:395–424. doi: 10.1021/cr030102i. [DOI] [PubMed] [Google Scholar]
- 4.Llarrull LI, Testero SA, Fisher JF, Mobashery S. 2010. The future of the beta-lactams. Curr Opin Microbiol 13:551–557. doi: 10.1016/j.mib.2010.09.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Bush K, Jacoby GA. 2010. Updated functional classification of beta-lactamases. Antimicrob Agents Chemother 54:969–976. doi: 10.1128/AAC.01009-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Mojica MF, Bonomo RA, Fast W. 2016. B1-metallo-beta-lactamases: where do we stand? Curr Drug Targets 17:1029–1050. doi: 10.2174/1389450116666151001105622. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Johnson AP, Woodford N. 2013. Global spread of antibiotic resistance: the example of New Delhi metallo-beta-lactamase (NDM)-mediated carbapenem resistance. J Med Microbiol 62:499–513. doi: 10.1099/jmm.0.052555-0. [DOI] [PubMed] [Google Scholar]
- 8.Yong D, Toleman MA, Giske CG, Cho HS, Sundman K, Lee K, Walsh TR. 2009. Characterization of a new metallo-beta-lactamase gene, blaNDM-1, and a novel erythromycin esterase gene carried on a unique genetic structure in Klebsiella pneumoniae sequence type 14 from India. Antimicrob Agents Chemother 53:5046–5054. doi: 10.1128/AAC.00774-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Lee CR, Lee JH, Park KS, Kim YB, Jeong BC, Lee SH. 2016. Global dissemination of carbapenemase-producing Klebsiella pneumoniae: epidemiology, genetic context, treatment options, and detection methods. Front Microbiol 7:895. doi: 10.3389/fmicb.2016.00895. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Walsh TR, Weeks J, Livermore DM, Toleman MA. 2011. Dissemination of NDM-1 positive bacteria in the New Delhi environment and its implications for human health: an environmental point prevalence study. Lancet Infect Dis 11:355–362. doi: 10.1016/S1473-3099(11)70059-7. [DOI] [PubMed] [Google Scholar]
- 11.Toleman MA, Bugert JJ, Nizam SA. 2015. Extensively drug-resistant New Delhi metallo-beta-lactamase-encoding bacteria in the environment, Dhaka, Bangladesh, 2012. Emerg Infect Dis 21:1027–1030. doi: 10.3201/eid2106.141578. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Thomas PW, Zheng M, Wu S, Guo H, Liu D, Xu D, Fast W. 2011. Characterization of purified New Delhi metallo-beta-lactamase-1. Biochemistry 50:10102–10113. doi: 10.1021/bi201449r. [DOI] [PubMed] [Google Scholar]
- 13.Li T, Wang Q, Chen F, Li X, Luo S, Fang H, Wang D, Li Z, Hou X, Wang H. 2013. Biochemical characteristics of New Delhi metallo-beta-lactamase-1 show unexpected difference to other MBLs. PLoS One 8:e61914. doi: 10.1371/journal.pone.0061914. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Chen J, Chen H, Shi Y, Hu F, Lao X, Gao X, Zheng H, Yao W. 2013. Probing the effect of the non-active-site mutation Y229W in New Delhi metallo-beta-lactamase-1 by site-directed mutagenesis, kinetic studies, and molecular dynamics simulations. PLoS One 8:e82080. doi: 10.1371/journal.pone.0082080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Marcoccia F, Bottoni C, Sabatini A, Colapietro M, Mercuri PS, Galleni M, Kerff F, Matagne A, Celenza G, Amicosante G, Perilli M. 2016. Kinetic study of laboratory mutants of NDM-1 metallo-beta-lactamase and the importance of an isoleucine at position 35. Antimicrob Agents Chemother 60:2366–2372. doi: 10.1128/AAC.00531-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Zhang H, Hao Q. 2011. Crystal structure of NDM-1 reveals a common beta-lactam hydrolysis mechanism. FASEB J 25:2574–2582. doi: 10.1096/fj.11-184036. [DOI] [PubMed] [Google Scholar]
- 17.Zheng B, Tan S, Gao J, Han H, Liu J, Lu G, Liu D, Yi Y, Zhu B, Gao GF. 2011. An unexpected similarity between antibiotic-resistant NDM-1 and beta-lactamase II from Erythrobacter litoralis. Protein Cell 2:250–258. doi: 10.1007/s13238-011-1027-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.King D, Strynadka N. 2011. Crystal structure of New Delhi metallo-beta-lactamase reveals molecular basis for antibiotic resistance. Protein Sci 20:1484–1491. doi: 10.1002/pro.697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kim Y, Tesar C, Mire J, Jedrzejczak R, Binkowski A, Babnigg G, Sacchettini J, Joachimiak A. 2011. Structure of apo- and monometalated forms of NDM-1—a highly potent carbapenem-hydrolyzing metallo-beta-lactamase. PLoS One 6:e24621. doi: 10.1371/journal.pone.0024621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Green VL, Verma A, Owens RJ, Phillips SE, Carr SB. 2011. Structure of New Delhi metallo-beta-lactamase 1 (NDM-1). Acta Crystallogr Sect F Struct Biol Cryst Commun 67:1160–1164. doi: 10.1107/S1744309111029654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yang H, Aitha M, Hetrick AM, Richmond TK, Tierney DL, Crowder MW. 2012. Mechanistic and spectroscopic studies of metallo-beta-lactamase NDM-1. Biochemistry 51:3839–3847. doi: 10.1021/bi300056y. [DOI] [PubMed] [Google Scholar]
- 22.King DT, Worrall LJ, Gruninger R, Strynadka NC. 2012. New Delhi metallo-beta-lactamase: structural insights into beta-lactam recognition and inhibition. J Am Chem Soc 134:11362–11365. doi: 10.1021/ja303579d. [DOI] [PubMed] [Google Scholar]
- 23.Kim Y, Cunningham MA, Mire J, Tesar C, Sacchettini J, Joachimiak A. 2013. NDM-1, the ultimate promiscuous enzyme: substrate recognition and catalytic mechanism. FASEB J 27:1917–1927. doi: 10.1096/fj.12-224014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Zheng M, Xu D. 2013. New Delhi metallo-beta-lactamase I: substrate binding and catalytic mechanism. J Phys Chem B 117:11596–11607. doi: 10.1021/jp4065906. [DOI] [PubMed] [Google Scholar]
- 25.Yang H, Young H, Yu S, Sutton L, Crowder MW. 2014. Targeting metallo-carbapenemases via modulation of electronic properties of cephalosporins. Biochem J 464:271–279. doi: 10.1042/BJ20140364. [DOI] [PubMed] [Google Scholar]
- 26.Yang H, Aitha M, Marts AR, Hetrick A, Bennett B, Crowder MW, Tierney DL. 2014. Spectroscopic and mechanistic studies of heterodimetallic forms of metallo-beta-lactamase NDM-1. J Am Chem Soc 136:7273–7285. doi: 10.1021/ja410376s. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Feng H, Ding J, Zhu D, Liu X, Xu X, Zhang Y, Zang S, Wang DC, Liu W. 2014. Structural and mechanistic insights into NDM-1 catalyzed hydrolysis of cephalosporins. J Am Chem Soc 136:14694–14697. doi: 10.1021/ja508388e. [DOI] [PubMed] [Google Scholar]
- 28.Das CK, Nair NN. 2017. Hydrolysis of cephalexin and meropenem by New Delhi metallo-beta-lactamase: the substrate protonation mechanism is drug dependent. Phys Chem Chem Phys 19:13111–13121. doi: 10.1039/C6CP08769H. [DOI] [PubMed] [Google Scholar]
- 29.Feng H, Liu X, Wang S, Fleming J, Wang DC, Liu W. 2017. The mechanism of NDM-1-catalyzed carbapenem hydrolysis is distinct from that of penicillin or cephalosporin hydrolysis. Nat Commun 8:2242. doi: 10.1038/s41467-017-02339-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Serag MF, Abadi M, Habuchi S. 2014. Single-molecule diffusion and conformational dynamics by spatial integration of temporal fluctuations. Nat Commun 5:5123. doi: 10.1038/ncomms6123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Thomas PW, Cammarata M, Brodbelt JS, Fast W. 2014. Covalent inhibition of New Delhi metallo-beta-lactamase-1 (NDM-1) by cefaclor. Chembiochem 15:2541–2548. doi: 10.1002/cbic.201402268. [DOI] [PubMed] [Google Scholar]
- 32.Gonzalez MM, Kosmopoulou M, Mojica MF, Castillo V, Hinchliffe P, Pettinati I, Brem J, Schofield CJ, Mahler G, Bonomo RA, Llarrull LI, Spencer J, Vila AJ. 2015. Bisthiazolidines: a substrate-mimicking scaffold as an inhibitor of the NDM-1 carbapenemase. ACS Infect Dis 1:544–554. doi: 10.1021/acsinfecdis.5b00046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Klingler FM, Wichelhaus TA, Frank D, Cuesta-Bernal J, El-Delik J, Muller HF, Sjuts H, Gottig S, Koenigs A, Pos KM, Pogoryelov D, Proschak E. 2015. Approved drugs containing thiols as inhibitors of metallo-beta-lactamases: strategy to combat multidrug-resistant bacteria. J Med Chem 58:3626–3630. doi: 10.1021/jm501844d. [DOI] [PubMed] [Google Scholar]
- 34.Christopeit T, Leiros HK. 2016. Fragment-based discovery of inhibitor scaffolds targeting the metallo-beta-lactamases NDM-1 and VIM-2. Bioorg Med Chem Lett 26:1973–1977. doi: 10.1016/j.bmcl.2016.03.004. [DOI] [PubMed] [Google Scholar]
- 35.Groundwater PW, Xu S, Lai F, Varadi L, Tan J, Perry JD, Hibbs DE. 2016. New Delhi metallo-beta-lactamase-1: structure, inhibitors and detection of producers. Future Med Chem 8:993–1012. doi: 10.4155/fmc-2016-0015. [DOI] [PubMed] [Google Scholar]
- 36.Zhu K, Lu J, Liang Z, Kong X, Ye F, Jin L, Geng H, Chen Y, Zheng M, Jiang H, Li JQ, Luo C. 2013. A quantum mechanics/molecular mechanics study on the hydrolysis mechanism of New Delhi metallo-beta-lactamase-1. J Comput Aided Mol Des 27:247–256. doi: 10.1007/s10822-012-9630-6. [DOI] [PubMed] [Google Scholar]
- 37.Lisa MN, Palacios AR, Aitha M, Gonzalez MM, Moreno DM, Crowder MW, Bonomo RA, Spencer J, Tierney DL, Llarrull LI, Vila AJ. 2017. A general reaction mechanism for carbapenem hydrolysis by mononuclear and binuclear metallo-beta-lactamases. Nat Commun 8:538. doi: 10.1038/s41467-017-00601-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Yuan Q, He L, Ke H. 2012. A potential substrate binding conformation of beta-lactams and insight into the broad spectrum of NDM-1 activity. Antimicrob Agents Chemother 56:5157–5163. doi: 10.1128/AAC.05896-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Guo Y, Wang J, Niu G, Shui W, Sun Y, Zhou H, Zhang Y, Yang C, Lou Z, Rao Z. 2011. A structural view of the antibiotic degradation enzyme NDM-1 from a superbug. Protein Cell 2:384–394. doi: 10.1007/s13238-011-1055-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Chen J, Chen H, Zhu T, Zhou D, Zhang F, Lao X, Zheng H. 2014. Asp120Asn mutation impairs the catalytic activity of NDM-1 metallo-beta-lactamase: experimental and computational study. Phys Chem Chem Phys 16:6709–6716. doi: 10.1039/c3cp55069a. [DOI] [PubMed] [Google Scholar]
- 41.Breece RM, Hu Z, Bennett B, Crowder MW, Tierney DL. 2009. Motion of the zinc ions in catalysis by a dizinc metallo-beta-lactamase. J Am Chem Soc 131:11642–11643. doi: 10.1021/ja902534b. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Tomatis PE, Rasia RM, Segovia L, Vila AJ. 2005. Mimicking natural evolution in metallo-beta-lactamases through second-shell ligand mutations. Proc Natl Acad Sci U S A 102:13761–13766. doi: 10.1073/pnas.0503495102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Gonzalez JM, Medrano Martin FJ, Costello AL, Tierney DL, Vila AJ. 2007. The Zn2 position in metallo-beta-lactamases is critical for activity: a study on chimeric metal sites on a conserved protein scaffold. J Mol Biol 373:1141–1156. doi: 10.1016/j.jmb.2007.08.031. [DOI] [PubMed] [Google Scholar]
- 44.Tomatis PE, Fabiane SM, Simona F, Carloni P, Sutton BJ, Vila AJ. 2008. Adaptive protein evolution grants organismal fitness by improving catalysis and flexibility. Proc Natl Acad Sci U S A 105:20605–20610. doi: 10.1073/pnas.0807989106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Bhabha G, Lee J, Ekiert DC, Gam J, Wilson IA, Dyson HJ, Benkovic SJ, Wright PE. 2011. A dynamic knockout reveals that conformational fluctuations influence the chemical step of enzyme catalysis. Science 332:234–238. doi: 10.1126/science.1198542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Hinchliffe P, Gonzalez MM, Mojica MF, Gonzalez JM, Castillo V, Saiz C, Kosmopoulou M, Tooke CL, Llarrull LI, Mahler G, Bonomo RA, Vila AJ, Spencer J. 2016. Cross-class metallo-beta-lactamase inhibition by bisthiazolidines reveals multiple binding modes. Proc Natl Acad Sci U S A 113:E3745–E3754. doi: 10.1073/pnas.1601368113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Otwinowski Z, Minor W. 1997. Processing of X-ray diffraction data collected in oscillation mode. Methods Enzymol 276:307–326. doi: 10.1016/S0076-6879(97)76066-X. [DOI] [PubMed] [Google Scholar]
- 48.Murshudov GN, Vagin AA, Dodson EJ. 1997. Refinement of macromolecular structures by the maximum-likelihood method. Acta Crystallogr D Biol Crystallogr 53:240–255. doi: 10.1107/S0907444996012255. [DOI] [PubMed] [Google Scholar]
- 49.Murshudov GN, Skubak P, Lebedev AA, Pannu NS, Steiner RA, Nicholls RA, Winn MD, Long F, Vagin AA. 2011. REFMAC5 for the refinement of macromolecular crystal structures. Acta Crystallogr D Biol Crystallogr 67:355–367. doi: 10.1107/S0907444911001314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Collaborative Computational Project, Number 4. 1994. The CCP4 suite: programs for protein crystallography. Acta Crystallogr D Biol Crystallogr 50:760–763. doi: 10.1107/S0907444994003112. [DOI] [PubMed] [Google Scholar]
- 51.Emsley P, Lohkamp B, Scott WG, Cowtan K. 2010. Features and development of Coot. Acta Crystallogr D Biol Crystallogr 66:486–501. doi: 10.1107/S0907444910007493. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Painter J, Merritt E. 2006. TLSMD web server for the generation of multi-group TLS models. J Appl Crystallogr 39:109–111. doi: 10.1107/S0021889805038987. [DOI] [Google Scholar]
- 53.Chen VB, Arendall WB III, Headd JJ, Keedy DA, Immormino RM, Kapral GJ, Murray LW, Richardson JS, Richardson DC. 2010. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr D Biol Crystallogr 66:12–21. doi: 10.1107/S0907444909042073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Anandakrishnan R, Aguilar B, Onufriev AV. 2012. H++3.0: automating pK prediction and the preparation of biomolecular structures for atomistic molecular modeling and simulations. Nucleic Acids Res 40:W537–W541. doi: 10.1093/nar/gks375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Case DA, Darden TA, Cheatham TE III, Simmerling CL, Wang J, Duke RE, Luo R, Walker RC, Zhang W, Merz KM, Roberts S, Wang B, Hayik S, Roitberg A, Seabra G, Swails J, Götz AW, Kolossvary I, Wong KF, Paesani F, Vanicek J, Wolf RM, Liu J, Wu X, Brozell SR, Steinbrecher T, Gohlke H, Cai Q, Ye X, Wang J, Hsieh M-J, Hornak V, Cui G, Roe DR, Mathews DH, Seetin MG, Salomon-Ferrer R, Sagui C, Babin V, Luchko T, Gusarov S, Kovalenko A, Kollman PA. 2012. AMBER 12 reference manual. University of California, San Francisco, San Francisco, CA. [Google Scholar]
- 56.Li PF, Merz KM. 2016. MCPB.py: a Python based metal center parameter builder. J Chem Inf Model 56:599–604. doi: 10.1021/acs.jcim.5b00674. [DOI] [PubMed] [Google Scholar]
- 57.Maier JA, Martinez C, Kasavajhala K, Wickstrom L, Hauser KE, Simmerling C. 2015. ff14SB: improving the accuracy of protein side chain and backbone parameters from ff99SB. J Chem Theory Comput 11:3696–3713. doi: 10.1021/acs.jctc.5b00255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Jorgensen WL, Chandrasekhar J, Madura JD, Impey RW, Klein ML. 1983. Comparison of simple potential functions for simulating liquid water. J Chem Phys 79:926–935. doi: 10.1063/1.445869. [DOI] [Google Scholar]
- 59.Essmann U, Perera L, Berkowitz ML, Darden T, Lee H, Pedersen LG. 1995. A smooth particle mesh Ewald method. J Chem Phys 103:8577–8593. doi: 10.1063/1.470117. [DOI] [Google Scholar]
- 60.Ryckaert JP, Ciccotti G, Berendsen HJC. 1977. Numerical-integration of Cartesian equations of motion of a system with constraints-molecular-dynamics of N-alkanes. J Comput Phys 23:327–341. doi: 10.1016/0021-9991(77)90098-5. [DOI] [Google Scholar]
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