دورية أكاديمية
Integrating diverse layers of omic data to identify novel drug targets in Listeria monocytogenes
| العنوان: | Integrating diverse layers of omic data to identify novel drug targets in Listeria monocytogenes |
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| المؤلفون: | Palumbo, Miranda Clara, Sosa, Ezequiel, Castello, Florencia Andrea, Schottlender, Gustavo, Serral, Federico, Turjanski, Adrian, Palomino, Maria Mercedes, Fernández Do Porto, Darío Augusto |
| بيانات النشر: | Frontiers Media |
| المجموعة: | CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas) |
| مصطلحات موضوعية: | DRUG DISCOVERY, DRUG TARGET, METABOLIC RECONSTRUCTIONS, TARGET PRIORITIZATION, LISTERIA MONOCYTOGENES, https://purl.org/becyt/ford/1.6Test, https://purl.org/becyt/ford/1Test |
| الوصف: | Listeria monocytogenes (Lm) is a Gram-positive bacillus responsible for listeriosis in humans. Listeriosis has become a major foodborne illness in recent years. This illness is mainly associated with the consumption of contaminated food and ready-to-eat products. Recently, Lm has developed resistances to a broad range of antimicrobials, including those used as the first choice of therapy. Moreover, multidrug-resistant strains have been detected in clinical isolates and settings associated with food processing. This scenario punctuates the need for novel antimicrobials against Lm. On the other hand, increasingly available omics data for diverse pathogens has created new opportunities for rational drug discovery. Identification of an appropriate molecular target is currently accepted as a critical step of this process. In this work, we generated multiple layers of omics data related to Lm, aiming to prioritize proteins that could serve as attractive targets for antimicrobials against L. monocytogenes. We generated genomic, transcriptomic, metabolic, and protein structural information, and this data compendium was integrated onto a freely available web server (Target Pathogen). Thirty targets with desirable features from a drug development point of view were shortlisted. This set of target proteins participates in key metabolic processes such as fatty acid, pentose, rhamnose, and amino acids metabolism. Collectively, our results point towards novel targets for the control of Lm and related bacteria. We invite researchers working in the field of drug discovery to follow up experimentally on our revealed targets. ; Fil: Palumbo, Miranda Clara. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Calculo. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Calculo; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina ; Fil: Sosa, ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2674-0338 |
| العلاقة: | info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fddsv.2022.969415/fullTest; http://hdl.handle.net/11336/204475Test; Palumbo, Miranda Clara; Sosa, Ezequiel; Castello, Florencia Andrea; Schottlender, Gustavo; Serral, Federico; et al.; Integrating diverse layers of omic data to identify novel drug targets in Listeria monocytogenes; Frontiers Media; Frontiers in Drug Discovery; 2; 969415; 10-2022; 1-14; CONICET Digital; CONICET |
| الإتاحة: | https://doi.org/10.3389/fddsv.2022.969415Test http://hdl.handle.net/11336/204475Test |
| حقوق: | info:eu-repo/semantics/openAccess ; https://creativecommons.org/licenses/by/2.5/arTest/ |
| رقم الانضمام: | edsbas.3C40A3F8 |
| قاعدة البيانات: | BASE |
| تدمد: | 26740338 |
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