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Identification of Novel Inhibitors of M. tuberculosis Growth Using Whole Cell Based High-Throughput Screening
Open accessAbstract
Despite the urgent need for new antitubercular drugs, few are on the horizon. To combat the problem of emerging drug resistance, structurally unique chemical entities that inhibit new targets will be required. Here we describe our investigations using whole cell screening of a diverse collection of small molecules as a methodology for identifying novel inhibitors that target new pathways for Mycobacterium tuberculosis drug discovery. We find that conducting primary screens using model mycobacterial species may limit the potential for identifying new inhibitors with efficacy against M. tuberculosis. In addition, we confirm the importance of developing in vitro assay conditions that are reflective of in vivo biology for maximizing the proportion of hits from whole cell screening that are likely to have activity in vivo. Finally, we describe the identification and characterization of two novel inhibitors that target steps in M. tuberculosis cell wall biosynthesis. The first is a novel benzimidazole that targets mycobacterial membrane protein large 3 (MmpL3), a proposed transporter for cell wall mycolic acids. The second is a nitro-triazole that inhibits decaprenylphosphoryl-β-D-ribose 2'-epimerase (DprE1), an epimerase required for cell wall biosynthesis. These proteins are both among the small number of new targets that have been identified by forward chemical genetics using resistance generation coupled with genome sequencing. This suggests that methodologies currently employed for screening and target identification may lead to a bias in target discovery and that alternative methods should be explored.
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A Diarylquinoline Drug Active on the ATP Synthase of Mycobacterium tuberculosis
Andries, K., Verhasselt, P., Guillemont, J., Göhlmann, H. W. H., Neefs, J.-M., Winkler, H., Van Gestel, J., Timmerman, P., Zhu, M., Lee, E., et al. (2005) · Science · doi:10.1126/science.1106753 · Cited by 2,191
A small-molecule nitroimidazopyran drug candidate for the treatment of tuberculosis
Stover, C. K., Warrener, P., VanDevanter, D. R., Sherman, D. R., Arain, T. M., Langhorne, M. H., Anderson, S. W., Towell, J. A., Yuan, Y., McMurray, D. N., et al. (2000) · Nature · doi:10.1038/35016103 · Cited by 1,034
Complex lipid determines tissue-specific replication of Mycobacterium tuberculosis in mice
Cox, J. S., Chen, B., McNeil, M., & Jacobs, W. R. (1999) · Nature · doi:10.1038/47042 · Cited by 745
Benzothiazinones Kill Mycobacterium tuberculosis by Blocking Arabinan Synthesis
Makarov, V., Manina, G., Mikusova, K., Möllmann, U., Ryabova, O., Saint-Joanis, B., Dhar, N., Pasca, M. R., Buroni, S., Lucarelli, A. P., et al. (2009) · Science · doi:10.1126/science.1171583 · Cited by 740
PA-824 Kills Nonreplicating Mycobacterium tuberculosis by Intracellular NO Release
Singh, R., Manjunatha, U., Boshoff, H. I. M., Ha, Y. H., Niyomrattanakit, P., Ledwidge, R., Dowd, C. S., Lee, I. Y., Kim, P., Zhang, L., et al. (2008) · Science · doi:10.1126/science.1164571 · Cited by 628
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Conklin, J. R., Battley, P. F., Potter, M. A., & Fox, J. W. (2010) · Nature Communications · doi:10.1038/ncomms1072 · Cited by 582
Tahlan, K., Wilson, R., Kastrinsky, D. B., Arora, K., Nair, V., Fischer, E., Barnes, S. W., Walker, J. R., Alland, D., Barry, C. E., et al. (2012) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.05708-11 · Cited by 504
Inhibition of mycolic acid transport across the Mycobacterium tuberculosis plasma membrane
Grzegorzewicz, A. E., Pham, H., Gundi, V. A. K. B., Scherman, M. S., North, E. J., Hess, T., Jones, V., Gruppo, V., Born, S. E. M., Korduláková, J., et al. (2012) · Nature Chemical Biology · doi:10.1038/nchembio.794 · Cited by 442
Controlling gene expression in mycobacteria with anhydrotetracycline and Tet repressor
Ehrt, S. (2005) · Nucleic Acids Research · doi:10.1093/nar/gni013 · Cited by 383
Global tuberculosis drug development pipeline: the need and the reality
Ma, Z., Lienhardt, C., McIlleron, H., Nunn, A. J., & Wang, X. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60359-9 · Cited by 374
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Alderwick, L. J., Harrison, J., Lloyd, G. S., & Birch, H. L. (2015) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a021113 · Cited by 265
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Zhang, B., Li, J., Yang, X., Wu, L., Zhang, J., Yang, Y., Zhao, Y., Zhang, L., Yang, X., Yang, X., et al. (2019) · Cell · doi:10.1016/j.cell.2019.01.003 · Cited by 263
Self-citationStanley, S. A., Barczak, A. K., Silvis, M. R., Luo, S. S., Sogi, K., Vokes, M., Bray, M.-A., Carpenter, A. E., Moore, C. B., Siddiqi, N., et al. (2014) · PLoS Pathogens · doi:10.1371/journal.ppat.1003946 · Cited by 251
Self-citationLi, W., Upadhyay, A., Fontes, F. L., North, E. J., Wang, Y., Crans, D. C., Grzegorzewicz, A. E., Jones, V., Franzblau, S. G., Lee, R. E., et al. (2014) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.03229-14 · Cited by 202
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Xu, Z., Meshcheryakov, V. A., Poce, G., & Chng, S.-S. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1700062114 · Cited by 201
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Rybniker, J., Vocat, A., Sala, C., Busso, P., Pojer, F., Benjak, A., & Cole, S. T. (2015) · Nature Communications · doi:10.1038/ncomms8659 · Cited by 191
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Abrahams, K. A., Cox, J. A. G., Spivey, V. L., Loman, N. J., Pallen, M. J., Constantinidou, C., Fernández, R., Alemparte, C., Remuiñán, M. J., Barros, D., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0052951 · Cited by 177
Systems-level antimicrobial drug and drug synergy discovery
Roemer, T., & Boone, C. (2013) · Nature Chemical Biology · doi:10.1038/nchembio.1205 · Cited by 159
Direct Inhibition of MmpL3 by Novel Antitubercular Compounds
Li, W., Stevens, C. M., Pandya, A. N., Darzynkiewicz, Z., Bhattarai, P., Tong, W., Gonzalez-Juarrero, M., North, E. J., Zgurskaya, H. I., & Jackson, M. (2019) · ACS Infectious Diseases · doi:10.1021/acsinfecdis.9b00048 · Cited by 97
Cryo-EM structure and resistance landscape of M. tuberculosis MmpL3: An emergent therapeutic target
Adams, O., Deme, J. C., Parker, J. L., Fowler, P. W., Lea, S. M., & Newstead, S. (2021) · Structure · doi:10.1016/j.str.2021.06.013 · Cited by 63
Insights on How the Mycobacterium Tuberculosis Heme Uptake Pathway can Be Used as a Drug Target
Owens, C. P., Chim, N., & Goulding, C. W. (2013) · Future Medicinal Chemistry · doi:10.4155/fmc.13.109 · Cited by 50
Gao, C., Peng, C., Shi, Y., You, X., Ran, K., Xiong, L., Ye, T.-H., Zhang, L., Wang, N., Zhu, Y., et al. (2016) · Scientific Reports · doi:10.1038/srep29717 · Cited by 48
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Metadata
- Authors
- Stanley, S. A., Grant, S. S., Kawate, T., Iwase, N., Shimizu, M., Wivagg, C., Silvis, M., Kazyanskaya, E., Aquadro, J., Golas, A., Fitzgerald, M., Dai, H., Zhang, L., & Hung, D. T.
- Venue
- ACS Chemical Biology
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-05-21
- Volume
- 7
- Issue
- 8
- Pages
- 1377-1384
- ISSN
- 1554-8929 (ISSN-L)
- 1554-8937
- OpenAlex
- W1986288809
- Cited by
- 253
- References
- 26
- FWCI
- 18.01
- Type
- journal article
- Language
- en
- Open access
- green
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