An integrative, multi-omics approach towards the prioritization of Klebsiella pneumoniae drug targets.

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作者:Ramos Pablo Ivan Pereira, Fernández Do Porto Darío, Lanzarotti Esteban, Sosa Ezequiel J, Burguener Germán, Pardo Agustín M, Klein Cecilia C, Sagot Marie-France, de Vasconcelos Ana Tereza R, Gales Ana Cristina, Marti Marcelo, Turjanski Adrián G, Nicolás Marisa F
Klebsiella pneumoniae (Kp) is a globally disseminated opportunistic pathogen that can cause life-threatening infections. It has been found as the culprit of many infection outbreaks in hospital environments, being particularly aggressive towards newborns and adults under intensive care. Many Kp strains produce extended-spectrum β-lactamases, enzymes that promote resistance against antibiotics used to fight these infections. The presence of other resistance determinants leading to multidrug-resistance also limit therapeutic options, and the use of 'last-resort' drugs, such as polymyxins, is not uncommon. The global emergence and spread of resistant strains underline the need for novel antimicrobials against Kp and related bacterial pathogens. To tackle this great challenge, we generated multiple layers of 'omics' data related to Kp and prioritized proteins that could serve as attractive targets for antimicrobial development. Genomics, transcriptomics, structuromic and metabolic information were integrated in order to prioritize candidate targets, and this data compendium is freely available as a web server. Twenty-nine proteins with desirable characteristics from a drug development perspective were shortlisted, which participate in important processes such as lipid synthesis, cofactor production, and core metabolism. Collectively, our results point towards novel targets for the control of Kp and related bacterial pathogens.

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