Azoles containing naphthalene with activity against Gram-positive bacteria: in vitro studies and in silico predictions for flavohemoglobin inhibition

Abstract Azoles are first-line drugs used in fungal infections. Topical antifungals, such as miconazole and econazole, are known to be active against Gram-positive bacteria, which was reported to result from bacterial flavohemoglobin (flavoHb) inhibition. Dual antibacterial/antifungal action is believed to have benefits for antimicrobial chemotherapy. In this study, we tested antibacterial effects of an in-house library of naphthalene-bearing azoles, some of which were reported as potent antifungals, in an attempt to find dual-acting hits. Several potent derivatives were obtained against the Gram-positive bacteria, Enterococcus faecalis and Staphylococcus aureus. 9 was active at a minimum inhibitor concentration (MIC) less than 1 µg/ml against E. faecalis and S. aureus, and 10 against S. aureus. 16 was also potent against E. faecalis and S. aureus (MIC = 1 and 2 µg/ml, respectively). Six more were active against S. aureus with MIC ≤ 4 µg/ml. In vitro cytotoxicity studies showed that the active compounds were safe for healthy cells within their MIC ranges. According to the calculated descriptors, the library was found within the drug-like chemical space and free of pan-assay interference compounds (PAINS). Molecular docking studies suggested that the compounds might be bacterial flavohemoglobin (flavoHb) inhibitors and the azole and naphthalene rings were important pharmacophores, which was further supported by pharmacophore modeling study. As a result, the current study presents several non-toxic azole derivatives with antibacterial effects. In addition to their previously reported antifungal properties, they could set a promising starting point for the future design of dual acting antimicrobials. Communicated by Ramaswamy H. Sarma

[1]  Suat Sarı,et al.  Azole derivatives with naphthalene showing potent antifungal effects against planktonic and biofilm forms of Candida spp.: an in vitro and in silico study , 2020, International microbiology : the official journal of the Spanish Society for Microbiology.

[2]  Suat Sarı,et al.  p-Trifluoroacetophenone Oxime Ester Derivatives: Synthesis, Antimicrobial and Cytotoxic Evaluation and Molecular Modeling Studies , 2020 .

[3]  Suat Sarı,et al.  Synthesis, in vivo anticonvulsant testing, and molecular modeling studies of new nafimidone derivatives , 2019, Drug development research.

[4]  Suat Sarı,et al.  Synthesis, anticonvulsant screening, and molecular modeling studies of new arylalkylimidazole oxime ether derivatives , 2018, Drug development research.

[5]  J. Tyndall,et al.  Crystal Structures of Full-Length Lanosterol 14α-Demethylases of Prominent Fungal Pathogens Candida albicans and Candida glabrata Provide Tools for Antifungal Discovery , 2018, Antimicrobial Agents and Chemotherapy.

[6]  J. Perfect,et al.  Tolerability profile of the current antifungal armoury , 2018, The Journal of antimicrobial chemotherapy.

[7]  P. Nenoff,et al.  New insights on the antibacterial efficacy of miconazole in vitro , 2017, Mycoses (Berlin).

[8]  I. Vural,et al.  New azole derivatives showing antimicrobial effects and their mechanism of antifungal activity by molecular modeling studies. , 2017, European journal of medicinal chemistry.

[9]  Olivier Michielin,et al.  SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules , 2017, Scientific Reports.

[10]  Suat Sarı,et al.  New (arylalkyl)azole derivatives showing anticonvulsant effects could have VGSC and/or GABAAR affinity according to molecular modeling studies. , 2016, European journal of medicinal chemistry.

[11]  Jennifer L. Knight,et al.  OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins. , 2016, Journal of chemical theory and computation.

[12]  R. Teixeira-Santos,et al.  The effect of antibacterial and non-antibacterial compounds alone or associated with antifugals upon fungi , 2015, Front. Microbiol..

[13]  J. Baell,et al.  Chemistry: Chemical con artists foil drug discovery , 2014, Nature.

[14]  Woody Sherman,et al.  Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments , 2013, Journal of Computer-Aided Molecular Design.

[15]  Kevin D Freeman-Cook,et al.  Lipophilic efficiency: the most important efficiency metric in medicinal chemistry. , 2013, Future medicinal chemistry.

[16]  Diane S. Lauderdale,et al.  Epidemics of Community-Associated Methicillin-Resistant Staphylococcus aureus in the United States: A Meta-Analysis , 2013, PloS one.

[17]  E. Warkentin,et al.  Active site analysis of yeast flavohemoglobin based on its structure with a small ligand or econazole , 2012, The FEBS journal.

[18]  M. Alagöz,et al.  Synthesis of some novel 1-(2-naphthyl)-2-(imidazol-1-yl)ethanone oxime ester derivatives and evaluation of their anticonvulsant activity. , 2012, European journal of medicinal chemistry.

[19]  Mark McGann,et al.  FRED and HYBRID docking performance on standardized datasets , 2012, Journal of Computer-Aided Molecular Design.

[20]  Y. Ghasemi,et al.  Antibacterial Activity of Some New Azole Compounds , 2012 .

[21]  E. Warkentin,et al.  Structure of Ralstonia eutropha flavohemoglobin in complex with three antibiotic azole compounds. , 2011, Biochemistry.

[22]  David S. Goodsell,et al.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility , 2009, J. Comput. Chem..

[23]  Jianling Wang,et al.  Comprehensive assessment of ADMET risks in drug discovery. , 2009, Current pharmaceutical design.

[24]  Jóhannes Reynisson,et al.  Benchmarking the reliability of QikProp. Correlation between experimental and predicted values , 2008 .

[25]  David E. Shaw,et al.  PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results , 2006, J. Comput. Aided Mol. Des..

[26]  Matthew P. Repasky,et al.  Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes. , 2006, Journal of medicinal chemistry.

[27]  P. R. Gardner,et al.  Imidazole Antibiotics Inhibit the Nitric Oxide Dioxygenase Function of Microbial Flavohemoglobin , 2005, Antimicrobial Agents and Chemotherapy.

[28]  Matthew P. Repasky,et al.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. , 2004, Journal of medicinal chemistry.

[29]  Hege S. Beard,et al.  Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening. , 2004, Journal of medicinal chemistry.

[30]  J. Farrés,et al.  Bacterial Hemoglobins and Flavohemoglobins for Alleviation of Nitrosative Stress in Escherichia coli , 2002, Applied and Environmental Microbiology.

[31]  Stephen R. Johnson,et al.  Molecular properties that influence the oral bioavailability of drug candidates. , 2002, Journal of medicinal chemistry.

[32]  F. Lombardo,et al.  Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. , 2001, Advanced drug delivery reviews.

[33]  Y. Tano,et al.  Concentration dependent effects of hydrogen peroxide on lens epithelial cells , 1999, The British journal of ophthalmology.

[34]  J. Trzăskos,et al.  Identification of lanosterol 14 alpha-methyl demethylase in human tissues. , 1991, Biochemical and biophysical research communications.

[35]  D. Feingold,et al.  Action of antifungal imidazoles on Staphylococcus aureus , 1982, Antimicrobial Agents and Chemotherapy.

[36]  F. B. Matias,et al.  IN VITRO ANTIMICROBIAL ACTIVITY , 2022 .