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Toward Broad Spectrum DHFR inhibitors Targeting Trimethoprim Resistant Enzymes Identified in Clinical Isolates of Methicillin-Resistant Staphylococcus aureus

View ORCID ProfileStephanie M. Reeve, Debjani Si, Jolanta Krucinska, Yongzhao Yan, Kishore Viswanathan, Siyu Wang, Graham T. Holt, Marcel S. Frenkel, Adegoke A. Ojewole, Alexavier Estrada, Sherry S. Agabiti, Jeremy B. Alverson, Nathan D. Gibson, Nigel D. Priestly, Andrew J. Wiemer, Bruce R. Donald, Dennis L. Wright
doi: https://doi.org/10.1101/648808
Stephanie M. Reeve
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269 USA
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  • ORCID record for Stephanie M. Reeve
Debjani Si
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269 USA
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Jolanta Krucinska
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269 USA
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Yongzhao Yan
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269 USA
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Kishore Viswanathan
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269 USA
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Siyu Wang
Department of Computer Science, Duke University, Durham, NC 27708 USAProgram in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708 USA
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Graham T. Holt
Department of Biochemistry, Duke University Medical Center, Durham, NC 27710 USA
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Marcel S. Frenkel
Department of Biochemistry, Duke University Medical Center, Durham, NC 27710 USA
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Adegoke A. Ojewole
Department of Computer Science, Duke University, Durham, NC 27708 USAProgram in Computational Biology and Bioinformatics, Duke University, Durham, NC 27708 USA
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Alexavier Estrada
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269 USA
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Sherry S. Agabiti
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269 USA
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Jeremy B. Alverson
Department of Chemistry, University of Montana, Missoula, MT 59812, USA
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Nathan D. Gibson
Department of Chemistry, University of Montana, Missoula, MT 59812, USA
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Nigel D. Priestly
Department of Chemistry, University of Montana, Missoula, MT 59812, USA
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Andrew J. Wiemer
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269 USA
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Bruce R. Donald
Department of Computer Science, Duke University, Durham, NC 27708 USADepartment of Biochemistry, Duke University Medical Center, Durham, NC 27710 USADepartment of Chemistry, Duke University, Durham, NC 27708 USA
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Dennis L. Wright
Department of Pharmaceutical Sciences, University of Connecticut, Storrs, CT 06269 USADepartment of Chemistry, University of Connecticut, Storrs, CT 06269 USA
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  • For correspondence: Dennis.wright@uconn.edu
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Abstract

The spread of plasmid borne resistance enzymes in clinical Staphylococcus aureus isolates is rendering trimethoprim and iclaprim, both inhibitors of dihydrofolate reductase (DHFR), ineffective. Continued exploitation of these targets will require compounds that can broadly inhibit these resistance-confering isoforms. Using a structure-based approach, we have developed a novel class of ionized non-classical antifolates (INCAs) that capture the molecular interactions that have been exclusive to classical antifolates. These modifications allow for a greatly expanded spectrum of activity across these pathogenic DHFR isoforms, while maintaining the ability to penetrate the bacterial cell wall. Using biochemical, structural and computational methods, we are able to optimize these inhibitors to the conserved active sites of the endogenous and trimethoprim resistant DHFR enzymes. Here, we report a series of INCA compounds that exhibit low nanomolar enzymatic activity and potent cellular activity with human selectivity against a panel of clinically relevant TMPR MRSA isolates.

Antibacterial resistance is a growing healthcare and public health crisis worldwide. The rapid dissemination of antibiotic resistance has diminished the efficacy of many once reliable therapeutics. In fact, resistance to every class of antibiotics has been observed clinically. The Review on Antimicrobial Resistance projected that drug resistant infections will be responsible for more than 10 million deaths a year by 2050 and cost the global economy over 100 trillion USD. Among the most prevalent pathogens that have been identified as particular concern are methicillin and vancomycin-resistant strains of Staphylococcus aureus1.

Methicillin resistant Staphylococcus aureus (MRSA), an opportunistic gram-positive bacterium, is the leading cause of healthcare associated infections as well as invasive systemic infections, pneumonia and skin and soft tissue infections (SSTIs) worldwide. The CDC reports over 80,000 invasive MRSA infections annually in the United States, more than 11,000 of which are fatal, which has prompted the CDC to classify drug resistant MRSA as a ‘Serious Threat’2.

The antifolate combination of trimethoprim and sulfamethoxazole (co-trimethoxazole), marketed as Bactrim or Septra, is a first line treatment for community acquired skin and soft tissue MRSA infections. Trimethoprim targets dihydrofolate reductase (DHFR) which is responsible for the NADPH-dependent reduction of dihydrofolate (DHF) to tetrahydrofolate (THF). DHFR is the only source for the recycling of THF in the cell. When employed in conjunction with sulfamethoxazole, which targets dihydropteroate synthase, this powerful synergistic antibacterial combination results with potent coverage against both Gram-negative and Gram-positive pathogens. Due to its broad spectrum of activity, oral bioavailability and general tolerability, prescriptions of TMP-SMX numbered more than 21 million in 2013, putting it in the group of top ten oral antibiotics prescribed3.

Currently, trimethoprim is the sole FDA-approved antibiotic targeting DHFR. A second compound, iclaprim, a structurally similar DHFR inhibitor with anti-staphylococcal activity, has recently completed a Phase III clinical trial for acute bacterial skin and skin structure (ABSSI) infections4. DHFR inhibitors are historically grouped into two classes: lipophilic and classical. Trimethoprim and iclaprim are lipophilic antifolates as they contain a 2,4-diaminopyrimidine pharmacophore and passively diffuse into the cytosolic space. Methotrexate and pemetrexed, both chemotherapeutics, are known as classical antifolates as they possess a glutamate moiety in their structure, Figure 1. As mimics of the natural substrate DHF, classical antifolates show high affinity to all DHFR enzymes, however due to the negatively charged glutamate tail (net charge= −2), these compounds must be actively transported into the cell via specific folate carriers. Since bacteria do not have these transport mechanisms, classical antifolates do not show significant antibacterial efficacy despite powerful inhibition of bacterial DHFR.

Figure 1:
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Figure 1:

Structures of antifolates discussed in this study. Trimethoprim and iclaprim (top row) are both lipophilic antifolates with antibacterial activity. Methotrexate is a classical antifolate that mimics the natural substrate dihydrofolate. Compound 1232 is a lead ionized non-classical antifolate (INCA).

Trimethoprim resistance in S. aureus was first recognized in the 1980s following its clinical introduction in 1968. In the 1990s, two primary resistance mechanisms were identified as conferring clinical TMP resistance (TMPR): point mutations in the endogenous TMP sensitive (TMPS) chromosomal DHFR gene dfrB and the acquisition of an innately resistant DHFR enzyme, dfrA5,6. Recently two additional plasmid-encoded DHFR resistance genes, dfrG and dfrK, began appearing in MRSA infections both abroad and domestically. The dfrG, gene, encoding the TMPR DHFR enzyme DfrG (referred to as S2 DHFR), was first isolated in Thailand and later isolated in South Africa where its import to Europe was tracked via epidemiological studies7,8. dfrK, encoding the protein DfrK, was predominately associated with agricultural, specifically swine associated infections and began recently appearing in farmers and children in farm villages in Ireland9. We recently identified dfrG and dfrK in clinical strains of MRSA from Connecticut hospitals, with dfrG being the predominant resistance determinant10. Our observations were mimicked in other studies identifying DfrG in as many as 78% of TMPR isolates followed by dfrA, dfrK variants. Strains with mutant DfrB were seldom isolated11,12.

We have been developing next generation DHFR inhibitors against TMP-resistant Gram-positive13,14, Gram-negative15,16 and mycobacterial17 pathogens. These compounds feature a 6-ethyl-2,4-diaminopyrimidine moiety linked to a meta-biaryl system through an acetylenic linker (Figure 1). Recently, we disclosed a distinct class of antifolates designated as ionized non-classical antifolates (INCA), that are characterized by acidic functionality in the C-ring to capture the powerful interaction between the glutamate tail of classical antifolates and DHFR14. Importantly, this modification alters the charge distribution of INCAs to anionic/zwitterionic relative to earlier generations that are cationic/neutral. Additionally, this mono-carboxylate design allows us to exploit the key interactions used in substrate/classical antifolate binding while still maintaining the ability to passively penetrate the bacterial membrane. INCA leads exhibit strong potency against the wild-type and TMPR mutant enzymes as well as clinically isolated strains containing the newly discovered dfrG and dfrK genes10.

With the exception of iclaprim, there has been a notable lack of development of therapeutics targeting dihydrofolate reductase in the antibacterial space. Herein, we have report a series of INCA antifolates that directly target the endogenous and acquired DHFR isoforms that confer trimethoprim and iclaprim resistant phenotypes. Using biochemical, microbiological, structural and computational techniques we are able to asses these compounds as potential antibacterial therapeutics.

Results and Discussion

A panel of clinically isolated TMPR MRSA and their corresponding DHFR enzymes, representative of the resistance landscape reported in recent literature was assembled for this study. This panel is comprised of isolates containing both a wild-type endogenous dfrB gene as well as either dfrA, dfrG or dfrK TMPR genes, Table 1. The clinical isolates, which have been previously characterized, were collected during the course of routine clinical care from Connecticut hospitals, show unique clonality and exhibit diverse antibiotic phenotypes10.

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Table 1

Staphylococcus aureus strains used in this study

Of the enzymes discussed in this study, the origins, biochemical and structural features of dfrA have been best characterized6,19. DfrA has accumulated three important mutations compared to its TMPS S. epidermidis counterpart (F98Y, G43A and V31L) that are responsible for high-level TMP resistance. While the origins of dfrG and dfrK are still unknown, it is believed that enzymes are related to Bacillus spp. DfrK and DfrG share a 90% sequence identity to each other, but only share a 41.5% and 42.1% sequence identity to DfrB and 38.5% and 39.8% to DfrA, respectively, Supplemental Figure S1. Despite low sequence identity, these enzymes show high homology within the active site. With the exception of a Leu5 to Ile substitution in the DfrA, DfrG, and DfrK proteins, the residues which make hydrogen bonds to the substrate, Glu27, Phe92 and Arg57, remain conserved throughout the acquired enzymes. A sequence alignment is reported in Supplemental Figure S2. DfrG and DfrK also contain the Tyr98 and Tyr149 substitutions. Mutations at these three of these positions are known to confer TMP resistance in the chromosomal DfrB enzyme18.

All clinical isolates used in this study exhibit high levels of antifolate resistance, Table 1. The dfrG and dfrK containing isolates, UCH121 and HH184, exhibited the highest levels of resistance to both trimethoprim and iclaprim with MIC values of >1000 μg/mL and >250 μg/mL, respectively. The dfrA containing strain, UCH115, also succumbs to high level antifolate resistance with MIC values of 250 μg/mL for trimethoprim and 64 μg/mL for iclaprim. Minimally, the presence of these resistant enzymes in the clinical isolates results in an 800-fold loss in cellular efficacy when compared to the TMPS comparator, ATCC 43300. Overall, iclaprim is unable to evade any of these prevalent TMP resistant elements rendering the compound largely ineffective against existing TMPR isolates.

In addition to cellular evaluations of dfrG, dfrK and dfrA containing strains, their corresponding recombinant enzymes, DfrG, DfrK and DfrA, were generated for kinetic and inhibitory enzymatic evaluations. Both the wild type DHFR and the TMPR enzymes display the typical hyperbolic progression of Michaelis-Menten kinetics. The initial rates for DHF were applied for determination of KM, kcat and kcat/KM as summarized in Table 2. Kinetic analysis of KM(DHF) values revealed that the TMP-resistant enzymes are comparable to the wild type DHFR. Overall, the substrate binding affinities of DfrK and DfrG are very similar to that found in DfrB, with KM values of 11.01, 8.87 and 13.35 μM, respectively. DfrA displays tighter interaction with DHF with approximately a two-fold decrease in KM with a value of 5.76 μM. The specificity constants (kcat/KM) of the TMP-resistant enzymes are also highly comparable to those of the wild type. A two-fold higher efficiency of DfrA enzyme, with a Kcat/KM of 0.72 μM−1/s−1, is due to the increased binding affinity to DHF while the turnover rates for the other two TMP-resistant enzymes are very similar relative to the wild type DHFR, Table 2.

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Table 2

Enzyme Kinetics and Inhibition for TMPR Elements and Clinical Antifolates

The resistance phenotypes observed for trimethoprim and iclaprim in the clinical isolates were recapitulated in their enzyme inhibitory activities, Table 2. DfrG conferred the highest level of resistance to both trimethoprim and iclaprim with Ki values of 30.96μM and 1.4μM, a >11,400 and 774-fold loss when compared to the DfrB values of 2.7 and 1.8nM respectively. Likewise, DfrA and DfrK both exhibit steep losses in affinity toward trimethoprim with Ki values of 820nM and 4,260nM, a >300 and >1500-fold loss potency, respectively. Iclaprim maintains higher potency against DfrK and DfrA than with DfrG with Ki values of 221 and 90nM, respectively. Unlike the poor inhibitory activity of the lipophilic antifolates in these enzymes, methotrexate maintains potent activity regardless of DHFR identity with Ki values of 0.71 nM for DfrB and 1.8, 2.47 and 0.38nM for DfrG, DfrK and DfrA, respectively.

Design and Evaluation of Ionized Non-Classical Antifolates (INCAs)

During the last decade, we have developed and evolved the propargyl-extended antifolates from TMP like derivatives20 to highly functionalized inhibitors that have been tailored to the SaDHFR active site10. Most recently, we have developed a new class of ionized non-classical antifolates (INCAs) featuring a distal benzoic acid that added MTX-like character to the inhibitors, Figure 2. Through structure-based drug design, we have been able to establish a preliminary structure activity relationship between these benzoic acid inhibitors, interactions with Arg57 and potency. Crystal structures of the first-generation carboxylate compounds with an unsubstituted propargylic position indicated a highly coordinated water network between the para-benzoic acid and Arg57. Branching from the propargylic carbon with a simple methyl group displaces the biaryl system toward the Arg57 residue effectively disrupting the water network and forming one direct hydrogen bonding and one water-mediated interaction with the guanidinium side chain. While inhibitors that form water-mediated and pseudo-direct hydrogen bonding interactions with Arg57 have shown improved potency over trimethoprim, the MIC discrepancy between the DfrG, DfrK and DfrA containing strains were up to 64-fold10. When designing across resistant targets, it is important that the MICs across target isoforms have only small deviation to ensure the widest possible coverage. Given the broad potency of MTX against the DfrA, DfrG and DfrK enzymes, it was hypothesized that fine tuning of the interaction between the INCA carboxylate moiety and the conserved arginine sidechain would be a powerful strategy to achieving broad-based activity against these redundant DHFR containing isolates.

Figure 2:
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Figure 2:

Antifolates in the SaDHFR active site A)Trimethoprim B) Compound 1191 C)Methotrexate

In order to facilitate the refinement of our INCA leads, we first obtained a crystal structure of the DfrB:NADPH:MTX ternary complex to better understand the binding mode of MTX to the bacterial reductase. In this structure, MTX makes extensive hydrogen bonding interactions with the protein’s active site including the Asp27 side chain, an active site water and the backbone carbonyls of Leu5 and Phe92. These contacts are supplemented with dual hydrogen bonds formed between the guanidinium side chain of Arg57 and the glutamate tail. The major structural difference between the human (PDB ID: 1DLS)21 and S. aureus structures is a loss of a hydrogen bonding interaction between the amide carbonyl of MTX and Asn64 side chain; this residue is replaced by a glycine in all DfrB as well as DfrA, DfrG and DfrK isoforms. Lipophilic antifolates, trimethoprim and iclaprim, maintain their interactions with the diaminopyrimidine binding pocket, however contacts with the distal Arg57 has always been an exclusive feature of classical antifolates. Moreover, the potential value of adding this functionality to antibacterial agents has been recognized as a tool to overcome resistance to point mutations, as this residue is unlikely to mutate without encountering a major fitness cost22.

We hypothesized that the placement of an additional carbon between the distal aryl ring and carboxylate would allow for a more productive MTX-like interaction. Therefore, a matched series of five benzoic acid and phenyl acetic acid inhibitors were synthesized, following previously reported synthetic strategies, for structural, biochemical and microbiological evaluations, Table 3.13,16

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Table 3

Structures of INCA Compounds

These compounds demonstrated excellent inhibitory affinity (Ki values <1.2 nM) toward the wild-type enzyme, DfrB. In the case of the benzoic acid series, introducing a R1,R2-dioxolane (1271) substituted B-ring enhanced the enzymatic inhition by 10-fold relative to a R1-OCH3 (1273) substituted compound. In addition, replacing the R1-OCH3 with a R1-Cl (1229) further enhanced the binding affinity by 2-fold. In comparison, the phenyl acetic acid INCAs either retained or increased their potency for DfrB relative to their benzoate congeners with R1-substituted B-ring systems demonstrating the most profound effects. For example, compound 1247 (R1-Cl) exhibited the most potent enzyme inhibition with a Ki of 1.2 nM, an 8-fold increase relative to its benzoic acid analog. This observation supported our hypothesis that increase in proximity and flexibility creates better interactions between the ionized extended-carboxylates and the conserved arginine. When evaluated against TMPR enzymes, the INCAs were >1000-fold more potent than TMP and showed over 100-fold greater inhibitory activity relative to iclaprim against DfrA, DfrG and DfrK. Changing the B-ring substitution from R1-OMe to a R1, R2-dioxolane or R1-Cl had a positive effect across all three enzymes. Notably, 1229 showed 3, 215 and 150-fold increases in enzyme inhibition against DfrA, DfrG and DfrK, respectively, when compared to 1273. Furthermore, all phenyl acetic acid INCAs showed enhanced inhibition against DfrA and DfrG when compared to their benzoic acid counterparts, with the most potent compound, 1267 having a Ki value of 2.2 nM for DfrA. For DfrK, all extended acid INCAs exhibited comparable activity to their benzoic acid partners. Based on this data, it is apparent that the extension of the anionic functionality was most beneficial for DfrA, followed by DfrG and DfrK with modest to little improvements.

Ideally, new generation DHFR inhibitors would have sufficient selectivity over human enzyme to avoid concomitant inhibition. Therefore, all new INCAs were tested against human DHFR isoform (HuDHFR) to evaluate their enzymatic selectivity. From the SAR data, it was apparent that the nature of substituents on the B- and C-rings of INCAs had an immense effect on their inhibitory activities against human DHFR. For shorter benzoic acids, moving the substitutions in B-ring from R1-OMe to any other position demonstrated increased selectivity, or decreased affinity towards HuDHFR. Intrestingly, extension of one carbon to the phenyl acetic acid improved the selectivity for R1-substituted B-ring systems, but had a detrimental effect on other B-ring systems. Notably, compound 1247 had a 33-fold increase inselectivity for the pathogenic enyzmes compared to its benzoic acid analog.

All new INCAs were evaluated for antibacterial inhibition against the panel of TMPS and TMPR isolates. Overall, these compounds maintained potent activity against wild-type ATCC43300 quality control strains with MIC vaues between 0.4 and <0.001 μg/mL, with the R1-Cl inhibitors (1229 and 1247) being most potent with MICs below 1 ng/mL. In general, the extension from benzoic acid to phenyl acetic acid had only a minor effect (1-2 fold increase) on potencies against the wild-type strain. Interestingly, MIC values for UCH121 and HH1184, which contain the dfrG and dfrK resistance genes, range from 0.625-10 and 0.3125 - 2.5μg/mL, respectively. The most active compounds from the benzoic acid series exhibited a >400 and >1,600-fold increase in potency compared to iclaprim and trimethoprim, respectively. For these strains, the majority of the phenyl acetic acid series were comparable or within two fold of their benzoic acid partner.

MIC values for the dfrA containing strain, UCH115 range from 1.25-20μg/mL, a 200 and 500-fold increase in activity when compared to trimethoprim and iclaprim. Moreover, for UCH115, the extended acids exhibited a moderate increase in potency over the benzoic acid analogs. For the R1,R2 dioxolane compounds, 1191 and 1232, the one carbon extension reduced the MIC from 20 to 2.5μg/mL, putting the MIC within 4-fold of the DfrG and DfrK containing strains. When tested against single and double mutant strains, most of the extended acid INCAs showed a considerable increase in activity. Owing to its substantially improved activity, 1247 and 1232 have been identified as lead INCA compounds against TMPR S. aureus pathogens.

An area of major importance in developing antibacterial DHFR inhibitors is achieving adequate selectivity over the human isoform. While the INCAs compounds tested here have less than 100-fold selectivity for the human isoform over the pathogenic enzyme, these compounds exhibit very little mammalian toxicity when tested against both MCF-10 and HepG2 cell lines. Most of the INCA compounds had IC50 values >200 μg/mL in both cell lines, Table 4. Compound 1229 was the most cytotoxic compound tested with IC50 values of 49 and 99μg/mL against MCF-10A and HepG2 cell lines, respectively, correlating with its poor enzymatic selectivity of 3.6-fold. This general lack of cytotoxicity may be attributed to the unique way in which human DHFR is regulated. It is well known that anticancer antifolates, for instance, require extraordinary target-level potency (MTX, Ki~ 5 pM)23 as a consequence of rapid changes to DHFR protein levels. Bastow24 was the first to report that MTX treatment increased the expression level of DHFR without affecting the levels of its mRNA. It was later shown that this upregulation was specific to humans25 and involved DHFR directly binding its cognate mRNA in the coding region26. Moreover, DHFR translational upregulation is an intrinsic form of resistance that protects human cells from MTX toxicity27. This may be the one reason that low dose MTX is well tolerated enough to allow for therapeutic applications outside of oncology. For example it is the first-line treatment for rheumatoid arthritis28 and is used in the management of psoriasis29 and ulcerative colitis30. We have determined that this effect is mirrored by treatment of HL-60 cells with both 1232 and MTX but not iclaprim. This indicates that MTX and INCAs induce a concentration dependent translation of human DHFR, potentially protecting the cells from the anti-HuDHFR enzymatic activity of these compounds (Supplemental Figure S3).

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Table 4

Enzymatic inhibition of Dfr Isozymes by INCA compoundsa (Ki, nM)

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Table 5

Minimum Inhibitory Concentrations

Structural and Computational Studies

To aid in the understanding of the observed efficacy and to guide future optimization efforts, several crystal structures with lead compounds, 1232 and 1267, bound to the wild type S. aureus DHFR were solved. Crystals of DfrB:NADPH:1232 and DfrB:NADPH:1267 diffracted to 1.65Å and 2.73Å, respectively. Data collection and refinement statistics are presented in Table S1. The structure of the DfrB:NADPH:1232 complex revealed the standard five hydrogen bonding interactions between the 6-ethyl diaminopyrimidine and Asp27 side chain (2.6Å and 3.1Å), an active site water (3.0Å), Phe92 (3.1Å), and Leu5 (3.0Å) backbone carbonyls. This configuration also enables the compound to form several hydrophobic interactions between the Phe92, Leu28, Val31, Ile50 and Leu54 side chains. Additionally, the carboxylic moeity extends to form the intended dual hydrogen bonding interactions with the Arg 57 side chain, one at 2.6Å and the other at 3.1Å, Figure 3 panel B.

Figure 3:
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Figure 3:

Crystal structures of A) 1191 B) 1232 C) 1267 and D) Methotrexate in the DfrB active site. This figure emphasizes the interactions between the distal acids of the INCAs/MTX and Arg57 residue. Panels B and C show the structural improvement of the phenyl acetic acid inhibitors over the benzoic acid series (panel A) and similarity to MTX (panel D).

Comparisons of its benzoic acid counterpart, 1191 (PDB ID:5JG0)10, reveal that the extension of the benzoic acid to phenyl acetic acid results in a 1.2Å displacement of the distal phenyl ring towards the Val31 helix. 1232 sits slightly above 1191, 0.7Å closer to the NADPH binding pocket and this results in 2.2Å shift in the dioxolane binding. Despite the observed changes in the inhibitor binding mode, the protein’s active site appears to accommodate the altered binding positions by maintaining the rotamer orientations and hydrophobic interactions between Leu54, Leu6, Leu28 and Ile50. An overlay of these structures is presented in Supplemental Information, Figure S4.

Compounds 1232 and 1267 maintain very similar binding orientations within the S. aureus active site and the overall RMSD of the two structures is 0.253Å. Compound 1267 makes the conserved hydrogen bonding interactions with the active site water (2.6Å), Asp27 (2.6Å and 3.2Å), Phe92 (2.9Å) and Leu5 (2.9Å) active site residues. The most notable deviations between these two structures is the binding position of the R2-OMe, which extends towards the Ile 50 at a 113° angle, whereas the R2,R3-dioxolane maintains a 102° bond angle in plane with proximal aryl ring. The methoxy binding orientation results in a 1Å shift of the Ile50 helix away from the inhibitor. This movement of the adjacent helix reduces the hydrophobic interactions between the inhibitor and Ile side chain. It is believed the rigidity of the fused ring system of 1232 allows for more optimal interactions between the inhibitor and protein.

Crystals of DfrB complexed with NADPH and methotrexate diffracted to 1.80Å. This structure shows two hydrogen bonding interactions between pterin rings and the side chain of Asp27 (2.6 and 3.2Å) and backbone Leu5 (2.8Å) and Phe92 (2.9Å) as well as two hydrogen bonding interactions with Arg57 (2.7 and 2.8Å). Like in the human DHFR structures, the pterin binds in an opposite orientation than that of folate facilitating the hydrogen bonding interaction with Phe 92 (PDB ID 3FRD31, Supplemental Figure S5). Interestingly, in the MTX structure a rotamer of Leu28 makes more extensive hydrophobic interactions to the benzamide moiety of MTX than in the INCAs, as the binding position of the distal ring would likely clash with that residue.

In order to better understand the molecular interactions between the INCA compounds and DfrG, we constructed a homology model of DfrG active site, based on the crystal structure of DfrB bound to 1232 and NADPH. This homology model shows good overlay between the DfrB and DfrG active sites binding to 1232, Figure 4. The DfrG structure maintains the seven hydrogen bonding interactions including Asp 27 side chain (both 3.0Å), Il5 backbone (3.1Å) and Phe92 (3.2Å) with the diaminopyrimidine and two hydrogen bonding interactions between the Arg57 and C-ring substituted phenyl acetic acid (2.9Å and 2.7Å). The hydrophobic interactions with the Val31, Ile50 and Phe92 are also maintained in these structures. Interestingly, DfrG contains a tryptophan in place of the Leu28 in the DfrB. This substitution increases the distance between the inhibitor and Leu28 (in DfrB) and Trp28 (in DfrG) from 3.6Å to 6.4Å, widening the distal region of the active site and effectively reducing the hydrophobic interactions with 1232.

Figure 4:
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Figure 4:

Overlay of DfrB (dark blue) with 1232(organge) and DfrG homology model (purple) with 1232 (light blue). Active site residues shown as sticks.

Finally, we were interested in examining the conformational re-organization that these ligands undergo upon binding with bacterial DHFR and evaluating their associated energy penalties. Therefore, two different dihedrals angles, the dihedral angle between propargylic methyl and the aromatic B ring, and the dihedral angle between aromatic B and C rings were chosen for analysis. Molecular dynamic calculations performed on a paired set of benzoic acid and phenyl acetic acid ligands, 1191 and 1232 generated two separate minimum energy conformers for each ligands and were further compared with their bioactive conformers. We observed (Supplemental Table 3 and Supplemental Figure 6) that to gain the overall stabilization in the active site of the bacterial DHFR the narrow dihedral angles (4 to-18°) between propargylic methyl and aromatic B-ring were well tolerated in all of the bioactive conformers overriding the conformational bias of larger (99 to 110°) dihedral angles in the minimum energy structures. In order to make optimal interactions with the distal arginine via the dual H-bonding this dihedral angle expanded from 3.5° in shorter benzoic acid, 1191 to −16.1° in phenyl acetic acid, 1232. Further, this overall stabilizing event also led to the 8 to 14° constrictions in the dihedral angles between the biphenyl (aromatic B and C rings) systems for phenyl acetic acid INCAs, and a 16° constriction of this dihedral angle in extended acid 1232.

Conclusion

Recent identification of trimethoprim resistance mechanisms in S. aureus has promted us to pursue the development of pan-DHFR inhibitors. Herein, we have been able to develop a hybrid class of antifolates that capture a key electrostiatic interaction common to classical antifolates without compromising the bacterial permeability associated with lipophilic antifolates. Moreover, structure-activity realtionships indicate that it should still be possible to achieve target-level selectivity even when exploiting this highly conserved interaction. It is noteworthy that developing compounds that simultaneously target both the endogenous and acquired enzymes has been a successful approach for the treatment of MRSA with 5th generation cephalosporins, which unlike the earlier generation cephalosporins, target the both the endogenous PBPs as well as the acquired PBP2a.

Crystal structures of the INCA compounds disclosed here indicate several highly coordinated hydrogen bonding interactions between the inhibitor and enzyme active site, several of which have, until now, been exclusive to classical antifolates. Adding ionic functionality to earlier generations of this antifolate class revealed a highly coordinated water network between the distal region of the inhibitor and the Arg57 residue of DfrB. Lead by crystal structures and biochemical evaluations, optimization of the proximal ring system and propargylic position allowed us to displace the water network to form a single hydrogen bonding interaction to displace the water network to form a single hydrogen bond and one water mediated interaction with the active site. Now, we have identified the optimal propargylic, proximal and distal subsitutions to fully exploit the substrate binding pocket and gain potent activity across trimethoprim sensitive and resistant DHFR isoforms. Having identified several lead compounds, we can continue to improve and evaluate selectivity, determine and optimize pharmacokinetic properties and assess in vivo efficacy.

Experimental

Chemical Matter in This Study

Compounds 1172, 1173, 1191 and 1232 have been previously disclosed10,14. All novel compounds have been synthesized following published methods14. More thorough methods and compound characterization can be found in the Supplemental Information.

Minimum Inhibitory Concentrations

Minimum inhibitory concentrations (MICs) for trimethoprim (Sigma Aldrich), iclaprim, and INCAcompounds (all in DMSO) were determined following CLSI broth dilution guidelines using isosensitest broth and an inoculum of 5×105 CFU/mL32. MIC values were determined as the lowest concentration of inhibitor to prevent visible cell growth after 18 hour incubation at 37°C.

Enzymatic Activity and Inhibition Assays

Enzyme activity was determined by monitoring the rate of NADPH oxidation following published methods10,13,14. Assays are performed at room temperature in a buffer solution 20 mM TES, pH 7.5, 50 mM KCl, 0.5 mM EDTA, 10 mM beta-mercaptoethanol and 1mg/mL BSA. For enzymatic assays (500 μL volume reactions), 1 μg of protein is mixed with 100 μM of NADPH and the reaction is activated with 100μM DHF (in 50 mM TES, pH 7.0). The reaction is monitored in a spectrophotometer at A340. The steady-state kinetic parameters of KM(DHF) and Ki DHF were obtained for TMPR enzymes and compared to the wild type DHFR. Michaelis-Menten constants (KM and Vmax) were graphically determined for the substrate from the initial rates at various DHF concentration (1.6 to 100 μM) and NADPH saturation (100 μM), using a non-linear least-squares fitting procedure33. The turnover number (kcat) was calculated on the basis of the enzyme molecular mass. Ki DHF values were obtained using Cheng-Prusoff equation34. The reported data are averages of two independent experiments, where each experiment was conducted in triplicates.

For enzyme inhibition experiments, 1 μg of protein is mixed with 100μM of NADPH and varying concentrations of inhibitor for 5 minutes. After 5 minutes, the reaction is activated with 100μM DHF (in 50mM TES, pH 7.0) and monitored at A340. The IC50 is defined as the concentration of compound required to reduce the activity of protein by 50%. For comparisons across Dfr species, the IC50 values are converted to Ki to account for differing substrate affinities

HepG2 and MCF-10 Cytotoxicity

Adherent cell lines were maintained in Eagle’s Minimal Essential Media with 2 mM glutamine and Earle’s Balanced Salt Solution adjusted to contain 1.5 g/L sodium bicarbonate, 0.1 mM non-essential amino acids, 1 mM sodium pyruvate and 10 % fetal calf serum. Fetal calf serum used in these assays was lot matched throughout. All cultures were maintained under a humidified 5 % CO2 atmosphere at 37°C, had media refreshed twice weekly and were subcultured by trypsinization and resuspension at a ratio of 1:5 each week. Toxicity assays were conducted between passages 10 – 20. Target compound toxicity was measured by incubating the test compound with the cells for four hours, washing the cells and finally treating the cells with Alamar Blue. After 12 – 24 hours the fluorescence of the reduced dye was measured. Fluorescence intensity as a function of test compound concentration was fit to the Fermi equation to estimate IC50 values.

Protein Preparation

Purification for all proteins in this study have been previously published10,13,14,35. In brief, proteins were expressed in BL21(DE3) E. coli cells with 1mM IPTG induction and 18 hour post induction growth at 18°C. Cells were lysed via sonication in a buffer of 25 mM Tris, pH 8.0, 0.4 M KCl supplemented with 0.1 mg/mL lysozyme, DNase, RNase and a cOmplete Mini Protease Inhibitor tablet. Enzymes were purified using Ni-NTA chromatography washing the bound protein with a solution of 25 mM Tris, pH 8.0 and 0.4 M KCl. Protein was eluted with 25mM Tris, pH 8.0, 0.3 M KCl, 20% glycerol, 0.1 mM EDTA, 5 mM DTT and 250 mM imidazole. Elution fractions were run on SDS-PAGE gel and pure protein was pooled and desalted into a buffer of 25 mM Tris, pH 8.0, 0.1 M KCl, 0.1 mM EDTA and 2 mM DTT and flashed frozen for storage at −80°C.

Protein Crystallography

DfrB:NADPH:MTX

DfrB at 13 mg/mL was incubated with 1 mM of MTX (in DMSO, Sigma Aldrich) and 2 mM of NADPH (in water, Sigma Aldrich) for several hours. The solution was pelleted at 4°C to remove any insoluble or precipitated protein. The protein was crystallized at 4°C in a 1:1 ratio in a solution of 0.1 M MES, pH 5.5, 0.2 M sodium acetate, 15% PEG 10,000 (Hampton Research) and 20% gamma-butyrolactone (Sigma Aldrich) as an additive. Crystals generally grew within 7 days and were flash frozen in solution containing 25% glycerol.

DfrB:NADPH:1232

DfrB at 13mg/mL was incubated with 1mM of 1232 (in DMSO) and 2mM of NADPH (in water) for several hours. The solution was pelleted at 4°C to remove any insoluble or precipitated protein. The protein was crystallized at 4°C in a 1:1 ratio in a solution of 0.1 MES, pH 6.0, 0.1M sodium acetate, 15% PEG 10K and 20% gamma-butyrolactone as an additive. Crystals generally grew within 7 days and were flash frozen in solution containing 25% glycerol.

DfrB:NADPH:1267

DfrB at 13mg/mL was incubated with 1mM of 1267 (in DMSO) and 2mM of NADPH (in water) for several hours. The solution was pelleted at 4°C to remove any insoluble or precipitated protein. The protein was crystallized at 4°C in a 1:1 ratio in a solution of 0.1 MES, pH 6.0, 0.3M sodium acetate, 17% PEG 10,000 and 20% gamma-butyrolactone as an additive. Crystals generally grew within 7 days and were flash frozen in solution containing 25% glycerol.

All data were collected at Stanford Synchrotron Radiation Light (SSRL), SLAC National Accelerator Laboratory. Data were indexed using HKL2000. Phaser was used to identify molecular replacement solutions using PDB ID: 3F0Q35–38.

DfrG:NADPH:1232 Homology Modelling

Homology modeling of DfrG active site was accomplished via the study of extant DHFR crystal structures in complex with various ligands. In this case, the DfrB:NADPH:1232 crystal structure was selected as the input starting structure for the homology modeling of DfrG active sites. Next, an intermediate model was generated using a structure prediction calculation, termed “OSPREY-designed sequence replacement” (ODSR). This process involves mutation to the target sequence implemented by side chain replacement. Here, all residues within 8Å of 1232 were selected and mutated to the appropriate DfrG amino acid, determined by sequence alignment to the sequence of DfrG. Sequence alignment was performed using CLUSTAL X 2.1 software39. Subsequently, side-chain replacement and global minimum energy conformation (GMEC) calculation were performed using OSPREY40,41. Following ODSR, the intermediate model was all-atom minimized using the SANDER package from the AMBER biomolecular simulation package42. Minimization was allowed to proceed for 1,000 steps, resulting in a fully-minimized homology model for DfrG active sites in complex with 1232 and NADPH. Scripts are available upon request for all steps in our protocol.

Ancillary Information

PDB Codes

DfrB:NADPH:1232 | PDB ID: TBD

DfrB:NADPH:1267 | PDB ID: TBD

DfrB:NADPH:Methotrexate | PDB ID: TBD

Author contributions

SMR: Strain characterization and susceptibilites, enzyme inhibition, protein purification and protein crystallography. DS, YY and KV: synthesis and characterization of novel chemical matter. JK: protein purification and enzyme kinetic experiments. SW, GTH and MSF: DfrG homology models. SS: DHFR expression profiling. NDG and JBA: preformed cytotoxicity assays. NDP: oversaw cytotoxicity experiments. AW: oversaw DHFR expression and western blotting experiments. BRD: oversaw computational experiments and DLW directed biology and synthetic chemistry. SMR, DJ, and DLW wrote and SMR, DJ, JK, DLW edited the manuscript.

Acknowledgements

We acknowledge funding from the National Institutes of Health grants GM078031 and GM078031 to BRD and AI111957 and AI104841 to DLW. We also acknowledge the SSRL beamline staff for their assistance in remote data collection and crystallography support. Use of the Stanfrod Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Contract No. DE-AC02-76SF00515.

Abbreviations

IC50
concentration for 50% inhibitory activity
MIC
Minimum inhibitory concentrations
TMPR
Trimethoprim resistant
DHFR
dihydrofolate reductase

References

  1. 1.↵
    O’Neil, J. (2014) Antimicrobial Resistance: Tackling a crisis for the health and wealth of Nations. Review on Antimicrobial Resistance
  2. 2.↵
    Frieden, T. Antibiotic resistance threats. Centers for Disease Control 22–50 (2013).
  3. 3.↵
    Center for Disease Control and Prevention (2013) Outpatient antibiotic prescriptions — United States.
  4. 4.↵
    Schneider P, Hawser S, Islam K. 2003. Iclaprim, a novel diaminopyrimidine with potent activity on trimethoprim sensitive and resistant bacteria. Bioorg. Med. Chem. Lett. 13, 4217–4221. DOI:10.1016/j.bmcl.2003.07.023
    OpenUrlCrossRefPubMed
  5. 5.↵
    Dale GE, Broger C, Hartman PG, Langen H, Page MG, Then RL, Stüber D, (1995) Characterization of the gene for the chromosomal dihydrofolate reductase (DHFR) of Staphylococcus epidermidis ATCC 14990: The origin of the trimethoprim-resistant S1 DHFR from Staphylococcus aureus? J. Bacteriology, 17 2965–2970. DOI:0.1128/jb.177.11.2965-2970.1995
    OpenUrl
  6. 6.↵
    Vickers, A. A, Potter, N. J., Fishwick, C.W.G., Chopra, I., O’Neill, A. J. (2009) Analysis of mutational resistance to trimethoprim in Staphyloccocus aureus by genetic and structural modelling techniques. J. Antimicrob. Chemother. 63, 1112–1117. DOI:10.1093/jac/dkp090
    OpenUrlCrossRefPubMedWeb of Science
  7. 7.↵
    Nurjadi, D., Olalekan, A.O., Layer, F., Shittu, A.O., Alabi, A., Ghebremedhin, B., Schaumburg, F., Hofmann-Eifler, J., Van Genderen, P.J., Caumes, E., Fleck, R., Mockenhaupt, F.P., Herrmann, M., Kern, W. V., Abdulla, S., Grobusch, M.P., Kremsner P.G., Wolz, C., Zanger, P. 2014. Emergence of trimethoprim resistance gene dfrG in Staphylococcus aureus causing human infection and colonization in sub-Saharan Africa and its import to Europe. J. Antimicrob. Chemother. 69, 2361–2368. DOI:10.1093/jac/dku174
    OpenUrlCrossRefPubMed
  8. 8.↵
    Sekiguchi, J., Tharavichitkyl, P., Miyoshi-Akiyama, T., Vhupia, V., Fujino, T., Araake, M., Irie, A., Morita, K., Kuratsuji, T., Kirikae, T. (2005) Cloning and Characterization of a Novel Trimethoprim-Resistant Dihydrofolate Reductase from a Nosocomial Isolate of Staphylococcus aureus CM.S2 (IMCJ1454). Antimicrob. Agents Chemother. 49, 3948–3951. DOI:10.1128/AAC.49.9.3948-3951.2005
    OpenUrlAbstract/FREE Full Text
  9. 9.↵
    Brennan, G.I., Abbott, Y., Burns, A., Leonard, F., McManus, B.A., O’Connell, B. (2016) The Emergence and Spread of Multiple Livestock-Associated Clonal Complex 398 Methicillin-Resistant and Methicillin-Susceptible Staphylococcus aureus Strains among Animals and Humans in the Republic of Ireland, 2010–2014. PLoS One 11, e0149396. DOI:10.1371/journal.pone.0149396
    OpenUrlCrossRef
  10. 10.↵
    Reeve, S.M., Scocchera, E.W., G-Dayanadan, N., Keshipeddy, S., Krucinska, J., Hajian, B., Ferreira, J., Nailor, M., Aeschlimann, J, Wright, D.L., Anderson, A.C. 2016. MRSA Isolates from United States Hospitals Carry dfrG and dfrK Resistance Genes and Succumb to Propargyl-Linked Antifolates. Cell Chem. Biol. 23, 1458–1467. DOI:10.1016/j/chembiol2016.11.007
    OpenUrlCrossRef
  11. 11.↵
    Coelho, C., de Lencastre, H., Aires-de-Sousa, M. (2017) Frequent occurrence of trimethoprim-sulfamethoxazole hetero-resistant Staphylococcus aureus isolates in different African countries. Eur. J. Clin. Microbiol. Infect. Dis. 36, 1243–1252. DOI:10.1007/s10096-017-2915-x
    OpenUrlCrossRef
  12. 12.↵
    Nurjadi, D., Schäfer, J., Friedrich-Jänicke, B., Mueller, A., Neumayr, A., Calvo-Cano, A., Goorhuis, A., Nolhoek, N., Lagler, H., Kantele, A., Van Genderen, P.J.J., Gascon, J., Grobusch, M.P., Caumes, E., Hatz, C., Fleck, R., Mochenhaupt, F.P., Zanger, P. (2015) Predominance of dfrG as determinant of trimethoprim resistance in imported Staphylococcus aureus. Clin. Micro and Infection. 21, 1095.re5–1095.e9. DOI:10.1016/j.cmi.2015.08.021
    OpenUrlCrossRef
  13. 13.↵
    Keshipeddy, S., Reeve, S.M., Anderson, A.C., Wright, D.L. (2015) Nonracemic Antifolates Stereoselectively Recruit Alternate Cofactors and Overcome Resistance in S. aureus J. Amer. Chem. Soc. 137, 8983–8990. DOI:10.1021/jacs.5b01442f
    OpenUrlCrossRefPubMed
  14. 14.↵
    Scocchera E, Reeve SM, Keshipeddy S, Lombardo MN, Hajian B, Sochia AE, Alverson JB, Priestley ND, Anderson AC, Wright DL. 2016. Charged Nonclassical Antifolates with Activity Against Gram-Positive and Gram-Negative Pathogens. ACS Med. Chem. Lett. 7, 692–696. DOI:10.1021/acsmedchemlett.6b00120
    OpenUrlCrossRef
  15. 15.↵
    Lamb, K., Lombardo, M.N., Alverson, J., Priestley, N., Wright, D., Anderson, A.C. (2014) Crystal structures of Klebsiella pneumoniae dihydrofolate reductase bound to propargyl-linked antifolates reveal features for potency and selectivity. Antimicrob. Agents Chemother. 58, 7484–7491. DOI:10.1128/AAC.03555-14.
    OpenUrlAbstract/FREE Full Text
  16. 16.↵
    Lombardo MN, G-Dayanandan N, Wright DL, Anderson AC. 2016. Crystal Structures of Trimethoprim-Resistant DfrA1 Rationalize Potent Inhibition by Propargyl-Linked Antifolates. ACS Infect Dis acsinfecdis.5b00129.
  17. 17.↵
    Hajian, B., Scocchera, E., Keshipeddy, S., G-Dayanandan, N., Shoen, C., Krucinska, J., Reeve, S., Cynamon, M., Anderson, A.C., Wright, D.L. (2016) Propargyl-linked antifolates are potent inhibitors of drug-sensitive and drug-resistant mycobacterium tuberculosis. PLoS One 11, 1–14. DOI:10.1371/journal.pone.0161740
    OpenUrlCrossRefPubMed
  18. 18.↵
    Reeve, S.M., Scocchera, E., Ferreira, J., G-Dayanandan, N., Keshipeddy, S., Wright, D.L., Anderson, A.C. 2016. Charged Propargyl-linked Antifolates Reveal Mechanisms of Antifolate Resistance and Inhibit Trimethoprim-Resistant MRSA Strains Possessing Clinically Relevant Mutations. J. Med. Chem. 59, 6493–6500 DOI:10.1021/acs.jmedchem.6b00688
    OpenUrlCrossRef
  19. 19.↵
    Heaslet, H., Harris, M., Fahnoe, K., Sarver, R., Putz, H., Chang, J., Subramanyam, C., Barreiro, G., Miller, J.R. (2009) Structural comparison of chromosomal and exogenous dihydrofolate reductase from Staphylococcus aureus in complex with the potent inhibitor trimethoprim. Proteins, 76, 706–717. DOI:0.1002/prot.22383
    OpenUrlCrossRefPubMedWeb of Science
  20. 20.↵
    Pelphrey, P.M., Popov, V.M., Joska, T.M., Beierlein, J.M., Bolstad, E.S.D., Fillingham, Y.A., Wright, D.L., Anderson, A.C. (2007) Highly Efficient Ligands for Dihydrofolate Reductase from Cryptosporidium hominis and Toxoplasma gondii Inspired by Structural Analysis. J. Med. Chem. 50, 940–950. DOI:10.1021/jm061027h
    OpenUrlCrossRefPubMed
  21. 21.↵
    Lewis, W.S., Cody, V., Galitsky, N., Luft, J.R., Pangborn, W., Chunduru, S.K., Spencer, H.T., Appleman, J.R., Blakely, R.L. (1995) Methotrexate resistant variants of Human Dihydrofolate Reductase with Substitutions of Leucine 22. Kinetics, crystallography, and potential of selectable markers. J. Biol Chem, 270, 5057–5064. DOI:0.1074/jbc.270.10.5057
    OpenUrlAbstract/FREE Full Text
  22. 22.↵
    Chan, D.C.M., Fu, H., Forsch, R.A., Queener, S.F., and Rosowsky, A. (2005) Design, Synthesis, and Antifolate Activity of New Analogues of Piritrexim and Other Diaminopyrimidine Dihydrofolate Reductase Inhibitors with ω-Carboxyalkoxy or ω-Carboxy-1-alkynyl Substitution in the Side Chain. J. Med Chem. 48, 4420–4431. DOI:10.1021/jm0581718
    OpenUrlCrossRefPubMed
  23. 23.↵
    Assaraf, Y. G. (2007) Molecular basis of antifolate resistnace. Cancer and Metastasis Reviews. 26, 153–181. DOI:10.1007/s10555-007-9049-z
    OpenUrlCrossRefPubMedWeb of Science
  24. 24.↵
    Bastow, K. F., Prabhu, R., Cheng, Y.C. (1984) The Intracellular Content Of Dihydrofolate Reductase: Possibilities for Control and Implicationsfor Chemotherapy. Adv. Enzyme Regul. 22, 15–26. DOI:10.1016/0065-2571(84)90006-2
    OpenUrlCrossRefPubMedWeb of Science
  25. 25.↵
    Hsieh, Y.C., Skacel, N. E., Bansal, N., Scotto, K. W., Banerjee, D., Bertino, J. R., Abali, E. E. (2009) Species-Specific Differences in Translational Regulation of Dihydrofolate Reductase. Molecular pharmacology, 76, 723–733. DOI:10.1124/mol.109.055772
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    Skacel, N., Menon, L. G., Mishra, P. J., Peters, R., Banerjee, D., Bertino, J. R., Abali, E. E. (2005). Identification of amino acids required for the functional up-regulation of human dihydrofolate reductase protein in response to antifolate treatment. J.Biol. Chem. 280, 22721–22731. (2005). DOI:10.1074/jbc.M500277200
    OpenUrlAbstract/FREE Full Text
  27. 27.↵
    Zhang, K., Rathod, P. K. (2002) Divergent regulation of dihydrofolate reductase between malaria parasite and human host. Science, 296, 545–547. DOI:10.1126/science.1068274
    OpenUrlAbstract/FREE Full Text
  28. 28.↵
    Shinde, C. G., Venkatesh, M. P., Kumar, T. M. P., Shivakumar, H. G. (2014) Methotrexate: A gold standard for treatment of rheumatoid arthritis. J.Pain and Palliat. Care Pharmaco, 28, 351–358. DOI:10.3109/15360288.2014.959238
    OpenUrlCrossRef
  29. 29.↵
    Yélamos, O., Puig, L. (2015) Systemic methotrexate for the treatment of psoriasis. Expert Rev. Clin. Immun. 11, 553–563. DOI:10.1586/0411333X.2015.1026894
    OpenUrlCrossRef
  30. 30.↵
    Gabbani, T., Deiana, S., Lunardi, S., Manetti, N., Annese, V. (2016) Safety profile of methotrexate in inflammatory bowel disease. Expert Opin. Drug Saf. 15, 1427–1437. DOI:10.1080/14740338.2016.1218468
    OpenUrlCrossRef
  31. 31.↵
    Oefner, C., Bandera, M., Haldimann, A., Laue, H., Schulz, H., Mukhija, S., Parisi, S., Weiss, L., Lociuro, S., Dale, G.E. (2009) Increased hydrophobic interactions of iclaprim with Staphylococcus aureus dihydrofolate reductase are responsible for the increase in affinity and antibacterial activity. J. Antimicrob. Chemother. 63, 687–698. DOI:10.1093/jac/dkp024
    OpenUrlCrossRefPubMedWeb of Science
  32. 32.↵
    National Committee for Clinical Laboratory Standards. 2014. CLSI Performance standard of Antimicrobial Susceptibility Testing: Twenty-fourth International Supplement. National Committee for Clinical Laboratory Standards, Wayne, PA.
  33. 33.↵
    Swift, M.L. (1997) GraphPad Prism, Data Analysis and Scientific Graphing. J. Chem. Infor. Comput. Sci. 37, 411–412. DOI:10.1021/ci960402j
    OpenUrlCrossRef
  34. 34.↵
    Cheng, Y., Prusoff, W.H. (1973) Relationship between the inhibiton constant (KI) and the concentration of inhibitor which cause 50 per cent inhibiton (IC50) of an enzymatic reaction. Biochem. Pharm. 22, 2099–3108. DOI:10.1016/0006-2952(73)90196-2.
    OpenUrlCrossRef
  35. 35.↵
    Frey, K.M., Georgiev, I., Donald, B.R., Anderson, A.C. (2010) Predicting resistance using protein design algorithms. Proc. Nat. Acad. Sci. 107, 13707–13712. DOI:10.1073/pnas.1002162107
    OpenUrlAbstract/FREE Full Text
  36. 36.
    Otwinowski, Z. and Minor, W. (1997) Processing of X-ray Diffraction Data Collected in Oscillation Mode. Methods in Enzymology, 276, 307–326. DOI:10.1016/S0076-6879(97)76066-X
    OpenUrlCrossRefPubMedWeb of Science
  37. 37.
    McCoy, A.J., Grosse-Kunstleve, R.W., Adams, P.D., Winn, M.D. Storoni, L.C. Read, R.J. (2007) Phaser Crystallographic software. J. Appl. Cryst. 40, 658–674. DOI:10.1170/S0021889807021206
    OpenUrlCrossRefPubMedWeb of Science
  38. 38.↵
    Adams, P.D., Afonine, P.V., Bunkóczum G., Chen, V.B., Davis, I.W., Echols, N., Headd, J.J., Hung, L.-W., Kapral, G.J., Grosse-Kunstleve, R.W., McCoy, A.J., Moriarty, N.W., Oeffner, R., Read, R.J., Richardson, D.C., Richardson, T.C., Terwilliger, T.C., Zwart, P.H. (2010) PHENIX: a comprehensive python-based system for macromolecular structure solution. Acta Cryst, D66, 213–221. DOI:10.1107/S0907444909052925
    OpenUrlCrossRefPubMedWeb of Science
  39. 39.↵
    Larkin, M.A., Blackshields, G., Brown, N.P., Chenna, R., McGettigan, P.A., McWilliam, H., Valentin, F., Wallace, I.M., Wilm, A., Lopez, R., Thompson, T.J., Higgins, D.G. (2007) Clustal W and Clustal X version 2.0. Bioinformatics 23, 2947–2948. DOI:10.1093/bioinformatics/btm404
    OpenUrlCrossRefPubMedWeb of Science
  40. 40.↵
    Gainza, P., Roberts, K.E., Georgiev, I., Lilien, R.H., Keedy, D.A., Chen, C., Reza, F., Anderson, A.C., Richardson, D.C., Richardson, J.S., Donald, B.R. (2013) OSPREY: Protein Design with Ensembles, Flexibility and Provable Algorithms. Methods Enzymol. 523. 27–107. DOI:10.1016/B978-0-12-394292-0.00005-9
    OpenUrlCrossRef
  41. 41.↵
    Hallen, M.A., Martin, J.W., Ojewole, A., Jou, J.D., Lowegard, A.U., Frenkel, M.S., Gainza, P., Nisonoff, H.M., Mukund, A., Wang, S., Holt, G.T., Zhou, D., Dowd, E., Donald, B.R. (2018) OSPREY 3.0: open-Source Protein Redesign for You, with Powerful New Tools. J. Comp. Chem. 39, 2494–2507. DOI:10.1002/jcc.25522
    OpenUrlCrossRef
  42. 42.↵
    Pearlman, D.A., Case, D.A., Caldwell, J.W., Ross, W. S., Cheatham, T.E., DeBolt, S., Ferguson, D., Seibel, G., Kollman, P. (1995) AMBER, a package of computer programs for applying molecular mechanics, normal mode analysis, molecular dynamics and free energy calculations to simulate the structural and energetic properties of molecules. Comp. Phys. Comm. 91, 1–41. DOI:10.1016/0020-4655(95)00041-D
    OpenUrlCrossRef
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Toward Broad Spectrum DHFR inhibitors Targeting Trimethoprim Resistant Enzymes Identified in Clinical Isolates of Methicillin-Resistant Staphylococcus aureus
Stephanie M. Reeve, Debjani Si, Jolanta Krucinska, Yongzhao Yan, Kishore Viswanathan, Siyu Wang, Graham T. Holt, Marcel S. Frenkel, Adegoke A. Ojewole, Alexavier Estrada, Sherry S. Agabiti, Jeremy B. Alverson, Nathan D. Gibson, Nigel D. Priestly, Andrew J. Wiemer, Bruce R. Donald, Dennis L. Wright
bioRxiv 648808; doi: https://doi.org/10.1101/648808
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Toward Broad Spectrum DHFR inhibitors Targeting Trimethoprim Resistant Enzymes Identified in Clinical Isolates of Methicillin-Resistant Staphylococcus aureus
Stephanie M. Reeve, Debjani Si, Jolanta Krucinska, Yongzhao Yan, Kishore Viswanathan, Siyu Wang, Graham T. Holt, Marcel S. Frenkel, Adegoke A. Ojewole, Alexavier Estrada, Sherry S. Agabiti, Jeremy B. Alverson, Nathan D. Gibson, Nigel D. Priestly, Andrew J. Wiemer, Bruce R. Donald, Dennis L. Wright
bioRxiv 648808; doi: https://doi.org/10.1101/648808

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