Target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by NMR
Detailed information on hit–target interaction is very valuable for drug discovery efforts and indispensable for rational hit to lead optimization. We developed a new approach combining NMR in whole-cells in-cell NMR) and docking to characterize hit–target interaction at the atomic level. By using i...
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sg-ntu-dr.10356-1509962021-06-01T05:50:47Z Target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by NMR Bouvier, Guillaume Simenel, Catherine Jang, Jichan Kalia, Nitin P. Choi, Inhee Nilges, Michael Pethe, Kevin Izadi-Pruneyre, Nadia Lee Kong Chian School of Medicine (LKCMedicine) School of Biological Sciences Science::Biological sciences Ligand-binding Discovery Detailed information on hit–target interaction is very valuable for drug discovery efforts and indispensable for rational hit to lead optimization. We developed a new approach combining NMR in whole-cells in-cell NMR) and docking to characterize hit–target interaction at the atomic level. By using in-cell NMR, we validated target engagement of the antituberculosis imidazopyridine amide (IPA) series with the subunit b of the cytochrome bc1:aa3, the major respiratory terminal oxidase in mycobacteria. The most advanced IPA called Q203 is currently in clinical trial. Using its derivative IPA317, we identified the atoms of the drug interacting with the cytochrome b in whole cells. NMR data and the self-organizing map algorithm were used to cluster a large set of drug–target complex models. The selected ensemble revealed IPA317 in a transient cavity of the cytochrome b, interacting directly with the residue T313, which is the site of spontaneous mutation conferring resistance to the IPA series. Our approach constitutes a pipeline to obtain atomic information on hit–target interactions in the cellular context. Ministry of Health (MOH) National Medical Research Council (NMRC) This work was funded by the Institut Pasteur, the Centre National de la Recherche Scientifique (CNRS), the Fondation pour la Recherche Médicale (Equipe FRM 2017M.DEQ20170839114), ERC FP7-IDEAS-ERC 294809, the National Research foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2017M3A9G6068257), Gyeonggi-do, and by the Singapore Ministry of Health’s National Medical Research Council under its Cooperative Basic Research Grant (Project Award NMRC/CBRG/0083/2015 to K.P.). The French Région Ile de France through the SESAME 2014 NMRCHR program (No. 14014526) is acknowledged for financial support for the 800 MHz spectrometer. 2021-06-01T05:50:47Z 2021-06-01T05:50:47Z 2018 Journal Article Bouvier, G., Simenel, C., Jang, J., Kalia, N. P., Choi, I., Nilges, M., Pethe, K. & Izadi-Pruneyre, N. (2018). Target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by NMR. Biochemistry, 58(6), 526-533. https://dx.doi.org/10.1021/acs.biochem.8b00975 0006-2960 0000-0003-2792-6084 0000-0002-1451-8092 0000-0002-6864-2961 https://hdl.handle.net/10356/150996 10.1021/acs.biochem.8b00975 30521325 2-s2.0-85059735362 6 58 526 533 en NMRC/CBRG/0083/2015 Biochemistry © 2018 American Chemical Society. All rights reserved. |
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Science::Biological sciences Ligand-binding Discovery Bouvier, Guillaume Simenel, Catherine Jang, Jichan Kalia, Nitin P. Choi, Inhee Nilges, Michael Pethe, Kevin Izadi-Pruneyre, Nadia Target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by NMR |
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Detailed information on hit–target interaction is very valuable for drug discovery efforts and indispensable for rational hit to lead optimization. We developed a new approach combining NMR in whole-cells in-cell NMR) and docking to characterize hit–target interaction at the atomic level. By using in-cell NMR, we validated target engagement of the antituberculosis imidazopyridine amide (IPA) series with the subunit b of the cytochrome bc1:aa3, the major respiratory terminal oxidase in mycobacteria. The most advanced IPA called Q203 is currently in clinical trial. Using its derivative IPA317, we identified the atoms of the drug interacting with the cytochrome b in whole cells. NMR data and the self-organizing map algorithm were used to cluster a large set of drug–target complex models. The selected ensemble revealed IPA317 in a transient cavity of the cytochrome b, interacting directly with the residue T313, which is the site of spontaneous mutation conferring resistance to the IPA series. Our approach constitutes a pipeline to obtain atomic information on hit–target interactions in the cellular context. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
author_facet |
Lee Kong Chian School of Medicine (LKCMedicine) Bouvier, Guillaume Simenel, Catherine Jang, Jichan Kalia, Nitin P. Choi, Inhee Nilges, Michael Pethe, Kevin Izadi-Pruneyre, Nadia |
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Article |
author |
Bouvier, Guillaume Simenel, Catherine Jang, Jichan Kalia, Nitin P. Choi, Inhee Nilges, Michael Pethe, Kevin Izadi-Pruneyre, Nadia |
author_sort |
Bouvier, Guillaume |
title |
Target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by NMR |
title_short |
Target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by NMR |
title_full |
Target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by NMR |
title_fullStr |
Target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by NMR |
title_full_unstemmed |
Target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by NMR |
title_sort |
target engagement and binding mode of an antituberculosis drug to its bacterial target deciphered in whole living cells by nmr |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/150996 |
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1702431160870633472 |