Literature DB >> 26935206

Combinatorial phenotypic screen uncovers unrecognized family of extended thiourea inhibitors with copper-dependent anti-staphylococcal activity.

Alex G Dalecki1, Aruni P Malalasekera, Kaitlyn Schaaf, Olaf Kutsch, Stefan H Bossmann, Frank Wolschendorf.   

Abstract

The continuous rise of multi-drug resistant pathogenic bacteria has become a significant challenge for the health care system. In particular, novel drugs to treat infections of methicillin-resistant Staphylococcus aureus strains (MRSA) are needed, but traditional drug discovery campaigns have largely failed to deliver clinically suitable antibiotics. More than simply new drugs, new drug discovery approaches are needed to combat bacterial resistance. The recently described phenomenon of copper-dependent inhibitors has galvanized research exploring the use of metal-coordinating molecules to harness copper's natural antibacterial properties for therapeutic purposes. Here, we describe the results of the first concerted screening effort to identify copper-dependent inhibitors of Staphylococcus aureus. A standard library of 10 000 compounds was assayed for anti-staphylococcal activity, with hits defined as those compounds with a strict copper-dependent inhibitory activity. A total of 53 copper-dependent hit molecules were uncovered, similar to the copper independent hit rate of a traditionally executed campaign conducted in parallel on the same library. Most prominent was a hit family with an extended thiourea core structure, termed the NNSN motif. This motif resulted in copper-dependent and copper-specific S. aureus inhibition, while simultaneously being well tolerated by eukaryotic cells. Importantly, we could demonstrate that copper binding by the NNSN motif is highly unusual and likely responsible for the promising biological qualities of these compounds. A subsequent chemoinformatic meta-analysis of the ChEMBL chemical database confirmed the NNSNs as an unrecognized staphylococcal inhibitor, despite the family's presence in many chemical screening libraries. Thus, our copper-biased screen has proven able to discover inhibitors within previously screened libraries, offering a mechanism to reinvigorate exhausted molecular collections.

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Year:  2016        PMID: 26935206      PMCID: PMC4838501          DOI: 10.1039/c6mt00003g

Source DB:  PubMed          Journal:  Metallomics        ISSN: 1756-5901            Impact factor:   4.526


  50 in total

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  5 in total

1.  High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus.

Authors:  Alex G Dalecki; Kimberley M Zorn; Alex M Clark; Sean Ekins; Whitney T Narmore; Nichole Tower; Lynn Rasmussen; Robert Bostwick; Olaf Kutsch; Frank Wolschendorf
Journal:  Metallomics       Date:  2019-03-20       Impact factor: 4.526

2.  Development of a web-based tool for automated processing and cataloging of a unique combinatorial drug screen.

Authors:  Alex G Dalecki; Frank Wolschendorf
Journal:  J Microbiol Methods       Date:  2016-04-23       Impact factor: 2.363

3.  Differential Susceptibility of Mycoplasma and Ureaplasma Species to Compound-Enhanced Copper Toxicity.

Authors:  Arthur H Totten; Cameron L Crawford; Alex G Dalecki; Li Xiao; Frank Wolschendorf; Thomas P Atkinson
Journal:  Front Microbiol       Date:  2019-07-30       Impact factor: 5.640

4.  Pyrazolyl Thioureas and Carbothioamides with an NNSN Motif against MSSA and MRSA.

Authors:  Anjana Delpe-Acharige; Man Zhang; Kayla Eschliman; Alex Dalecki; Obdulia Covarrubias-Zambrano; Azriel Minjarez-Almeida; Tejaswi Shrestha; Tanji Lewis; Fatimah Al-Ibrahim; Sophia Leonard; Riana Roberts; Anteneh Tebeje; Aruni P Malalasekera; Hongwang Wang; Madumali Kalubowilage; Frank Wolschendorf; Olaf Kutsch; Stefan H Bossmann
Journal:  ACS Omega       Date:  2021-02-22

5.  A copper-dependent compound restores ampicillin sensitivity in multidrug-resistant Staphylococcus aureus.

Authors:  Cameron L Crawford; Alex G Dalecki; Mildred D Perez; Kaitlyn Schaaf; Frank Wolschendorf; Olaf Kutsch
Journal:  Sci Rep       Date:  2020-06-02       Impact factor: 4.379

  5 in total

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