A novel chemical biology and computational approach to expedite the discovery of new-generation polymyxins against life-threatening Acinetobacter baumannii

Multidrug-resistant Gram-negative bacteria represent a major medical challenge worldwide. New antibiotics are desperately required with 'old' polymyxins often being the only available therapeutic option. Here, we systematically investigated the structure-activity relationship (SAR) of poly...

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Veröffentlicht in:Chemical science (Cambridge) 2021-09, Vol.12 (36), p.12211-12220
Hauptverfasser: Jiang, Xukai, Patil, Nitin A, Azad, Mohammad A K, Wickremasinghe, Hasini, Yu, Heidi, Zhao, Jinxin, Zhang, Xinru, Li, Mengyao, Gong, Bin, Wan, Lin, Ma, Wendong, Thompson, Philip E, Yang, Kai, Yuan, Bing, Schreiber, Falk, Wang, Lushan, Velkov, Tony, Roberts, Kade D, Li, Jian
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Sprache:eng
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Zusammenfassung:Multidrug-resistant Gram-negative bacteria represent a major medical challenge worldwide. New antibiotics are desperately required with 'old' polymyxins often being the only available therapeutic option. Here, we systematically investigated the structure-activity relationship (SAR) of polymyxins using a quantitative lipidomics-informed outer membrane (OM) model of and a series of chemically synthesized polymyxin analogs. By integrating chemical biology and all-atom molecular dynamics simulations, we deciphered how each residue of the polymyxin molecule modulated its conformational folding and specific interactions with the bacterial OM. Importantly, a novel designed polymyxin analog FADDI-287 with predicted stronger OM penetration showed improved antibacterial activity. Collectively, our study provides a novel chemical biology and computational strategy to expedite the discovery of new-generation polymyxins against life-threatening Gram-negative 'superbugs'.
ISSN:2041-6520
2041-6539
DOI:10.1039/d1sc03460j