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Copyright © 2007, American Society for Microbiology Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, Florida 32610,1 Department of Pharmacology and Therapeutics, University of Florida College of Medicine, 1600 SW Archer Road, Gainesville, Florida 32610-02672 *Corresponding author. Mailing address for David A. Ostrov: Department of Pathology, Immunology and Laboratory Medicine, University of Florida, College of Medicine, Gainesville, FL 32610. Phone: (352) 273-8166. Fax: (352) 273-8285. E-mail: ostroda/at/pathology.ufl.edu. Mailing address for Thomas C. Rowe: Department of Pharmacology and Therapeutics, P.O. Box 100267, Gainesville, FL 32610. Phone: (352) 392 3530. Fax: (352) 392-9696. E-mail: tomrowe/at/ufl.edu Received March 22, 2007; Revised May 21, 2007; Accepted July 27, 2007. This article has been cited by other articles in PMC.Abstract The bacterial type II topoisomerases DNA gyrase and topoisomerase IV are validated targets for clinically useful quinolone antimicrobial drugs. A significant limitation to widely utilized quinolone inhibitors is the emergence of drug-resistant bacteria due to an altered DNA gyrase. To address this problem, we have used structure-based molecular docking to identify novel drug-like small molecules that target sites distinct from those targeted by quinolone inhibitors. A chemical ligand database containing approximately 140,000 small molecules (molecular weight, <500) was molecularly docked onto two sites of Escherichia coli DNA gyrase targeting (i) a previously unexplored structural pocket formed at the dimer interface of subunit A and (ii) a small region of the ATP binding pocket on subunit B overlapping the site targeted by coumarin and cyclothialidine drugs. This approach identified several small-molecule compounds that inhibited the DNA supercoiling activity of purified E. coli DNA gyrase. These compounds are structurally unrelated to previously identified gyrase inhibitors and represent potential scaffolds for the optimization of novel antibacterial agents that act on fluoroquinolone-resistant strains. Fluoroquinolones (see Fig. Fig.1)1
Resistance to fluoroquinolones is associated primarily with mutations in the quinolone resistance-determining region (QRDR) of the genes encoding GyrA and/or ParC (8, 14, 50; reviewed in references 12 and 20). This region encodes a 50- to 60-amino-acid stretch in the N-terminal regions of these polypeptides. Resistance to fluoroquinolones in Escherichia coli is most commonly associated with amino acid substitutions at S83 and D87 in GyrA, which map to the putative DNA binding surface of α-helix 4 (see Fig. Fig.2)2
DNA gyrase is also the target of coumarin and cyclothialidine drugs (Fig. (Fig.1),1 In an effort to discover novel inhibitors that would act on microbial topoisomerases resistant to the known DNA gyrase inhibitors, we utilized a molecular docking screening strategy to identify structural elements outside the QRDR of bacterial GyrA that could potentially be targeted with small molecules. Molecular docking has led to the successful discovery of novel ligands for more than 30 targets (reviewed in reference 43). This strategy has been successfully applied primarily to a large number of enzymatic target proteins, such as aldose reductase, Bcl-2, matriptase, adenovirus protease, AmpC β-lactamase, carbonic anhydrase, hypoxanthine phosphoribosyltransferase, dihydro-dipicolinate, and cyclin-dependent kinase 4. The generation of a new class of potent cyclin-dependent kinase 4 inhibitors is a prototypic example of the “scaffold-based approach” to integrate molecular docking with inhibitor design using virtual libraries of small molecules (19). With the increasing number and accuracy of crystal structures in recent years, molecular docking has become an important tool for the synthetic elaboration of novel therapeutics based on chemical scaffolds. In this study, we utilized solved crystal structures of the A and B subunits of DNA gyrase for molecular docking of small molecules onto both established and novel drug-targeting sites in this enzyme. Several of the top-scoring compounds were found to inhibit the DNA supercoiling activity of purified E. coli DNA gyrase. MATERIALS AND METHODS Database preparation. The National Cancer Institute/Developmental Therapeutics Program (NCI/DTP) maintains a repository of 139,644 samples (plated compound set) (38). The three-dimensional coordinates for the NCI/DTP plated compound set in the MDL sd format were converted to the mol2 format by the program SDF2MOL2 (UCSF). Partial atomic charges for ligand atoms were calculated using SYBDB (UCSF) (13) and added to the mol2 file representing the NCI/DTP plated compound set (approximately 140,000 small molecules). Molecular docking. The procedure for molecular docking involves (i) the selection of structural pockets in DNA gyrase suitable for interactions with drug-like small molecules and (ii) molecular docking simulations where each one of approximately 140,000 small molecules (molecular weight, <500) is positioned in the selected structural pocket and scored based on predicted polar (e.g., H bond) and nonpolar (e.g., van der Waals) interactions. The 10 highest-scoring compounds for each selected structural pocket were obtained for use in DNA gyrase inhibition assays. Docking calculations were performed with the 15 October 2002 development version of DOCK v5.1.0 (13, 41). The coordinates for the crystal structure of a 59-kDa fragment of gyrase A from E. coli, Protein Data Bank (PDB) code 1AB4, were used in the molecular docking calculations (39). The biologically relevant dimeric form of DNA gyrase A was generated by applying the crystallographic symmetry operation (−1.0, 0.0, 0.0, 119.6 Å, 0.0, −1.0, 0.0, 119.6 Å, 0.0, 0.0, 1.0, 0.0) to the coordinates in PDB 1AB4 using CCP4 (23). The molecular surface of the structure was explored using sets of spheres to describe potential binding pockets. The spheres literally fill in the available pocket spaces where a ligand might be able to form a complex. DOCK uses the spheres as a guide to search for orientations of each molecule that fit into the selected sites. The sites selected for molecular docking were defined using the SPHGEN program and filtered through the CLUSTER program (13). The SPHGEN program generates an unbiased grid of points that reflect the actual shape of the selected site. The CLUSTER program groups the selected spheres to define the points that are used by DOCK to match (superimpose) potential ligand atoms with spheres. Seventy-two spheres were used to define the gyrase A site for molecular docking. Each compound in the NCI/DTP database was positioned in the selected site in 100 different orientations. Intermolecular AMBER energy scoring (van der Waals + columbic), contact scoring, and bump filtering were implemented in DOCK v5.1.0 (13). PYMOL (9) was used to generate molecular graphic images. The ATP binding site in DNA gyrase subunit B was targeted with small molecules by screening approximately 140,000 compounds, using a molecular docking protocol similar to that used for DNA gyrase subunit A, described above. For molecular docking into a structural pocket of DNA gyrase subunit B, the site selection criteria were based on the position of novobiocin in the ATP binding site (27). The coordinates were from the crystal complex of novobiocin and Thermus thermophilus, PDB code 1KIJ (26). PDB 2SPH (UCSF) was used to place spheres at the positions of novobiocin atoms. The novobiocin-bound structure of E. coli gyrase B is not available, but conserved residues in the ATP binding site were identified by aligning DNA gyrase subunit B sequences from E. coli and T. thermophilus by using ClustalX (6). Sequence variability was plotted on the molecular surface of T. thermophilus by using PYMOL to demonstrate the high degree of sequence and structural similarities. Forty-four spheres were used to define the site on gyrase B for molecular docking. Scoring was calculated in a 5-Å grid surrounding the spheres (GRID; UCSF). All molecular docking jobs were performed on SGI Octane workstations running DOCK (UCSF) in IRIX6.5. The 10 highest-scoring compounds for each selected structural pocket were obtained for use in DNA gyrase inhibition assays. Analysis of docked compounds was performed with HBPLUS (36) and plotted using LIGPLOT (45). Chemicals and enzymes. The small-molecule inhibitors used in this study were obtained from the Drug Synthesis and Chemistry Branch of the National Cancer Institute and are listed in Tables 1 and 3. Plasmids containing the A (pPH11) or B (pAG111) subunit of E. coli DNA gyrase (kindly provided by Tony Maxwell, Norwich Research Park, United Kingdom) were overexpressed in E. coli XL1-Blue (Stratagene), and the resulting polypeptides were purified as described previously by Maxwell and Howells (34). DNA gyrase activity was then reconstituted by mixing the two subunits together at a ratio of 1:1.4 (GyrA/GyrB).
Preparation of relaxed DNA substrate. Relaxed plasmid DNA substrate was prepared by incubating supercoiled pRSET A DNA (Invitrogen) with wheat germ topoisomerase I (Promega) according to the manufacturer's specifications. The relaxed pRSET A DNA was then extracted with phenol-chloroform before ethanol precipitation and resuspension in 10 mM Tris-HCl, pH 7.5, 1 mM EDTA. DNA supercoiling assay. Supercoiling by DNA gyrase was determined using a standard agarose gel assay as described previously (18). Reaction mixtures (20 μl) containing 25 mM Tris-acetate, pH 7.9, 20 mM potassium acetate, 10 mM magnesium acetate, 2 mM dithiothreitol, 1.5 mM ATP, 5 mM spermidine-HCl, 50 μg/ml bovine serum albumin, 0.5 μg relaxed pRSET A DNA (Invitrogen), and various concentrations of drug were incubated on ice for 10 min. Reactions were then initiated by adding DNA gyrase (2.5 nM GyrA and 3.5 nM GyrB) and incubating the mixture at 30°C for 30 min. Reactions were terminated by adding 4 μl of stop solution (3% sodium dodecyl sulfate, 30% Ficoll, 0.6 mg/ml bromophenol blue, 60 mM EDTA), and the samples were loaded onto a 1% agarose gel in 40 mM Tris-acetate, pH 8.1, 2 mM EDTA. Following electrophoresis at 12 V for 20 h, gels were stained with ethidium bromide (1 μg/ml) and the DNA was visualized under UV light. The gel image was captured using a Bio-Rad Gel Doc apparatus, and the DNA bands were quantitated using Scion Image Beta software version 4.0.2 (Scion Corporation). The percentage of supercoiled DNA in each drug-treated sample was calculated relative to that in non-drug-treated gyrase controls. ATPase assay. The DNA-independent ATPase activity of E. coli GyrB was measured by a spectrophotometric method that couples the hydrolysis of ATP with the oxidation of NADH (31). The methodology and reaction conditions were the same as those previously reported using 40 nM of purified E. coli GyrB and 2 mM ATP (23). The apparent Ki [Ki(app)] value for Cancer Chemotherapy National Service Center (NSC) compound 20116 was determined as follows: 1/slope of a plot of inhibitor concentration versus (V0/Vi) − 1, where V0 and Vi represent the rates of ATP hydrolysis in the absence and presence of inhibitor, respectively (23). The Ki value was then calculated using the equation Ki = Ki(app)/(1 + [ATP]/Km), using a Km of 0.3 mM for E. coli gyrase ATPase (44). DNA unwinding assay. Drug-induced DNA unwinding was measured as described previously (28), using pGEM2 plasmid DNA (Promega, Madison, WI) and wheat germ DNA topoisomerase I (Promega, Madison, WI). Bacterial growth studies. To determine the effects of drugs on E. coli XL1-Blue cell growth, overnight cultures grown in LB media at 37°C were diluted to an optical density at 595 nm (OD595) of 0.05 in 50 ml fresh LB media and incubated with shaking at 37°C until cells entered log-phase growth. Cells (10 ml) were then transferred into flasks containing various concentrations of filter-sterilized drug, and cell growth continued with shaking at 37°C. Cell growth was monitored at OD595 using a Pharmacia LKB Ultrospec III spectrophotometer (Cambridge, England). RESULTS Discovery of a novel structural pocket on E. coli DNA gyrase subunit A for structure-based drug design. The goal of this approach was to develop a strategy to inhibit DNA gyrase activity in E. coli by interfering with a functionally important structural pocket that is not affected by common mutations that cause resistance. Resistance to fluoroquinolones is associated primarily with mutations that occur in a small region (QRDR) of the A subunits of the DNA gyrase and topoisomerase IV genes, which encode a 50- to 60-amino-acid stretch in the N-terminal regions of the GyrA and ParC polypeptides, respectively (8, 14, 50; reviewed in references 12 and 20). In the case of E. coli GyrA, fluoroquinolone resistance is most often associated with amino acid substitutions at S83 and D87, which reside within the putative DNA binding surface of α-helix 4 (Fig. (Fig.2).2 We used molecular docking to position each of approximately 140,000 compounds in 100 different orientations at the GyrA dimer interface. The 10 highest-scoring compounds based on van der Waals and electrostatic potential were then obtained from the NCI/DTP (38) and tested for inhibition of DNA gyrase supercoiling activity in vitro by using drug concentrations of up to 100 μg/ml (Table 1 and Fig. Fig.3).3
In silico docking and in vitro functional testing of compounds targeting the ATP binding pocket of DNA gyrase subunit B. The ATP binding pocket of DNA gyrase subunit B is highly conserved between species, and crystallographic and biochemical evidence indicates that coumarin and cyclothialidine drugs act by competing with ATP for binding to the structural pocket defined by N46, E50, D73, R76, I78, K103, V118, and T165 in T. thermophilus and E. coli GyrB (Fig. (Fig.4)4
NSC compounds 20116 and 7784 inhibited DNA gyrase activity, with IC50 values of 338 and 814 μM, respectively (Table 3). The inclusion of Triton X-100 in the assay did not reverse inhibition by NSC 20116, suggesting that inhibition was not due to enzyme adsorption to drug aggregates (Table 2). Inhibition is unlikely to involve DNA intercalation since neither NSC 20116 nor NSC 7784 caused DNA unwinding at concentrations of up to 640 μM and 1.6 mM, respectively (data not shown). Both NSC 20116 and NSC 7784 were also tested for inhibition of gyrase ATPase activity. Although NSC 7784 had no effect on ATPase activity at concentrations of up to 1.5 mM, NSC 20116 significantly inhibited ATPase activity, with a Ki of 149 μM (Fig. (Fig.4E),4E The chemical structure of NSC 20116 differs significantly from those of known DNA gyrase inhibitors, suggesting a different mode of interaction with the ATP binding pocket (Fig. 4B to D
Inhibition of E. coli growth by NSC 103003 and NSC 20116. Logarithmically growing E. coli XL1-Blue cells were incubated with various concentrations of either NSC 103003 or NSC 20116, and growth was monitored by following the absorbance of cell cultures at OD595 (Fig. (Fig.7).7
DISCUSSION Fluoroquinolones are highly effective antimicrobial drugs that target the bacterial type II topoisomerases DNA gyrase and topoisomerase IV. Unfortunately, resistance to this class of drugs has become increasingly prevalent and is usually due to alterations in DNA gyrase/topoisomerase IV or to a decrease in intracellular drug levels caused by changes in membrane permeability or overexpression of drug efflux pumps. Alterations in DNA gyrase or topoisomerase IV are usually localized within the QRDR in the N terminus of the GyrA or ParC subunit of DNA gyrase or topoisomerase IV, respectively. In the case of E. coli DNA gyrase, clinical resistance is most frequently associated with chromosomal point mutations resulting in amino acid substitutions at codons 83 and 87 of GyrA. Quinolone resistance in other gram-negative as well as gram-positive organisms is also typically associated with similar substitutions at the equivalent conserved residues in the A subunits of DNA gyrase and/or topoisomerase IV. One potential approach to circumvent quinolone resistance would be to identify novel inhibitors that target a different region of GyrA. To this end, we have used a virtual screening method (DOCK v5.1.0) to search for inhibitors that might interact with an essential GyrA dimerization domain near Y122, a key catalytic residue involved in the DNA breakage-reunion reaction of DNA gyrase. Our preliminary findings have identified several compounds that inhibit DNA gyrase supercoiling activity at concentrations in the micromolar range. One of these compounds, NSC 103003, was found to be a DNA intercalator, suggesting that inhibition was due to compound-induced perturbation of DNA structure and not an effect on GyrA dimerization. In contrast, NSC 130847 and NSC 20115 are not DNA intercalators, and whether these drugs inhibit gyrase by interfering with dimerization or by steric hindrance of Y122 remains to be tested. The distinct chemical structures of NSC 130847 and NSC 20115 compared with those of fluoroquinolone derivatives (Fig. (Fig.11 In addition to targeting the A subunit of DNA gyrase, we used molecular docking in an attempt to identify several small-molecule inhibitors that putatively target the ATP binding pocket of the B subunit of DNA gyrase. This region is a well-established target site for coumarin and cyclothialidine drugs. Structural analyses have shown that the binding of these two drug classes to GyrB is stabilized by several critical hydrogen bonds involving D73 and a conserved water molecule in the ATP binding site (reviewed in reference 35). Previous in silico screening studies have focused on the identification of small-molecule inhibitors that utilize these two key hydrogen bonds (3, 32, 40). This contrasts with our study, which did not require small-molecule inhibitors to form these two hydrogen bonds. Since we did not constrain the molecular docking search by imposing interactions with D73 and an ordered water molecule that participates in binding to known GyrB inhibitors, this study differs significantly from all previous studies that employ molecular docking on DNA gyrase (3, 32, 40). Interestingly, our top-scoring compound (NSC 20116) is predicted to be positioned in the adenosine binding site and to interact with D73 (Fig. (Fig.6),6 Interestingly, although the ATP binding pockets of DNA gyrase and topoisomerase IV are highly conserved, coumarin drugs are typically 5- to 50-fold less active against topoisomerase IV. Recent studies suggest that coumarin resistance of E. coli topoisomerase IV is due primarily to a methionine residue at position 74 (equivalent to I78 in E. coli DNA gyrase) (2). When isoleucine is exchanged for methionine in the ParE subunit of topoisomerase IV, the IC50 of novobiocin decreases from 210 to 12 nM (an 18-fold decrease), which is less than the IC50 of novobiocin for E. coli DNA gyrase (46 nM). X-ray analysis of the gyrase/novobiocin complex indicates that I78 has a hydrophobic interaction with the novobiose sugar moiety of novobiocin (Fig. (Fig.5A)5A NSC 20116 completely blocked E. coli growth within 30 min at 192 μM, a concentration that inhibits purified DNA gyrase activity by approximately 30%. There was a significant dose-dependent delay in growth inhibition by NSC 20116 at concentrations of <192 μM. At 64 and 21 μM, growth inhibition was not observed until 30 to 60 min following drug treatment. The DNA gyrase inhibitor novobiocin has also been reported to cause a delayed inhibition of bacterial growth (4). The mechanism underlying the delay in growth inhibition at lower drug concentrations is presently unclear. However, in addition to its role in DNA replication, DNA gyrase also functions to modulate gene transcription by regulating DNA topology/supercoiling (reviewed in reference 47). Recent microarray analyses indicate that novobiocin changes the expression of many genes (16, 42). Possibly, the delayed growth inhibition at lower drug concentrations is due to decreased expression of some essential function that eventually becomes growth limiting following one or more cell divisions. This study demonstrates a novel application of virtual screening methods, which are now traditionally used in drug discovery. The availability of large libraries of compounds with known structures permits the sampling of an ever-growing number of candidates for lead compounds (more than 3 million are currently available). The accuracy of molecular docking methods is continuously improving due to the increased quality of structural information, primarily from solved crystal structures, available on drug targets. A major goal of structural genomics efforts is to define all protein folds to permit accurate structural models of all proteins. As knowledge of drug target structures and of the ligand-receptor interaction becomes increasingly available, a new level of specificity can be achieved by in silico screening using large ligand databases. The potential identification of small-molecule inhibitors by using this approach is further enhanced by the availability of more than 3 million structures in databases such as ZINC (21), which now includes the compounds in the NCI/DTP repository used in this study. Significant limitations to existing virtual screening methods include long computation demands and false-positive hits resulting from inevitable inaccuracies in the scoring functions. In addition, small molecules have aggregation effects on functional assays, which can result in false-positive results. In this study, we addressed the limitations of virtual screening methods by relaxing search parameters, thus reducing computational time, by using a combination of scoring algorithms, and by testing the selected compounds in activity assays in the presence and absence of detergent. The search parameters for molecular docking typically position each potential ligand in tens of thousands of orientations in the selected site (1). In comparison to other molecular docking studies, this study found that far fewer orientations were needed to identify active compounds. In addition, the scoring functions in this study were established with a priority on the van der Waals contact score (nonpolar interactions), with electrostatic potential (polar interactions) having a secondary priority. The oriented compounds were ranked by the overall energy score, which is the sum of van der Waals and electrostatic contributions. Using the latest development version of DOCK v5.1.0, this set of parameters yielded several active inhibitors in the 10 highest-scoring compounds out of approximately 140,000. In contrast, the identification of novel inhibitors in other virtual screening studies required the testing of 100 to 1,000 compounds (43). Molecular docking, using the parameters described in this study, resulted in hit rates comparable to those previously observed (20 to 80%), which are significantly higher than those obtained by random screening (0.2 to 2.4%) (11, 49). These data demonstrate that this virtual screening method is a more rapid, economical, and accurate approach than previously considered. In this study, we identified novel targets for drug interaction that differ from existing drug binding structural pockets in DNA gyrase. Compounds selected by high-throughput molecular docking, and their derivatives, may be able to overcome resistance to available DNA gyrase inhibitors (i.e., quinolone drugs). Furthermore, in addition to identifying compounds that may circumvent known mechanisms of antimicrobial drug resistance, this type of virtual screening method is likely to become an essential tool for identifying novel lead compounds which modulate the activity of important therapeutic targets for a broad range of human diseases. Acknowledgments We thank Tony Maxwell for providing the DNA gyrase expression constructs used in these studies. D.A.O. is currently supported by NIH R21 HL080222 and Cure Autism Now Foundation 2908051-12. 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