Integrating Omics Data to Prioritize Target Genes in Pathogenic Bacteria

MARISA FABIANA NICOLÁS ; MARCELO TRINDADE DOS SANTOS; DARIO FERNANDEZ DO PORTO (#EQUAL CONTRIBUTOR); PABLO IVAN P. RAMOS ; MARCELO A. MARTI; MAIANA DE OLIVEIRA CERQUEIRA E COSTA ; ERNESTO PEREZ-RUEDA ; ADRIAN G. TURJANSKI (#EQUAL CONTRIBUTOR)

Networks in Systems Biology: Applications on Disease Modeling

Springer

Año: 2020; p. 1 - 74

This review focuses on efforts towards target prioritization from severalpathogenic bacteria applying integrated multi-omics approaches. In an integrative scheme, diverse layers of multi-omics data, genome-scale models (GSMs) and structural/functional data related to any pathogenic species can be used to prioritize genes and proteins with attractive target characteristics for the development of new antimicrobials agents. The reconstruction of genome-scale metabolic models (GSMMs) and transcriptional regulatory networks (TRNs) is described in detail. Also, we discuss the methods for integration of GSMs and diverse web servers for drug targeting in pathogens. Structural approaches are also illustrated. We stress the clinical importance of the drug-resistant isolates related to severe nosocomial or community infections belonging to the species Klebsiella pneumoniae and Staphylococcus aureus, two of the six ESKAPE pathogens, as well as Mycobacterium tuberculosis, the causative agent of tuberculosis.