Author | Merigueti, Thiago Castanheira | |
Author | Carneiro, Marcia Weber | |
Author | Carvalho-Assef, Ana Paula D' A. | |
Author | Silva Jr, Floriano Paes | |
Author | Silva, Fabricio Alves Barbosa da | |
Access date | 2019-07-09T11:45:07Z | |
Available date | 2019-07-09T11:45:07Z | |
Document date | 2019 | |
Citation | MERIGUETI, Thiago Castanheira et al. FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria. Frontiers in Genetics, v. 10, p. 1-14, July 2019. | pt_BR |
ISSN | 1664-8021 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/33899 | |
Sponsorship | CAPES, FAPERJ, CNPq e FIOCRUZ (INOVA-FIOCRUZ VPPCB-007-FIO-18-2-29) for financial support. | pt_BR |
Language | eng | pt_BR |
Publisher | Frontiers Media | pt_BR |
Rights | open access | |
Subject in Portuguese | Biologia de sistemas | pt_BR |
Subject in Portuguese | Análise de Balanço de Fluxo | pt_BR |
Subject in Portuguese | Rede Metabólica | pt_BR |
Subject in Portuguese | Análise COBRA | pt_BR |
Subject in Portuguese | Python (linguagem de programação) | pt_BR |
Title | FindTargetsWEB: A User-Friendly Tool for Identification of Potential Therapeutic Targets in Metabolic Networks of Bacteria | pt_BR |
Type | Article | |
DOI | 10.3389/fgene.2019.00633 | |
Abstract | Healthcare-associated infections (HAIs) are a serious public health problem. They can be associated with morbidity and mortality and are responsible for the increase in patient hospitalization. Antimicrobial resistance among pathogens causing HAI has increased at alarming levels. In this paper, a robust method for analyzing genome-scale metabolic networks of bacteria is proposed in order to identify potential therapeutic
targets, along with its corresponding web implementation, dubbed FindTargetsWEB. The proposed method assumes that every metabolic network presents fragile genes whose blockade will impair one or more metabolic functions, such as biomass accumulation. FindTargetsWEB automates the process of identification of such fragile genes using flux balance analysis (FBA), flux variability analysis (FVA), extended Systems
Biology Markup Language (SBML) file parsing, and queries to three public repositories, i.e., KEGG, UniProt, and DrugBank. The web application was developed in Python using COBRApy and Django. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ. Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Muniz. Programa de Pós-Graduação em Biotecnologia para Saúde e Medicina Investigativa. Salvador, BA, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Pesquisa em Infecção Hospitalar. Rio de Janeiro, RJ. Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Bioquímica Experimental e Computacional de Fármacos. Rio de Janeiro, RJ. Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Presidência. Programa de Computação Científica. Rio de Janeiro, RJ. Brasil. | pt_BR |
Subject | Systems biology | pt_BR |
Subject | Flux balance analysis | pt_BR |
Subject | Metabolic network | pt_BR |
Subject | COBRA analysis | pt_BR |
Subject | Python (programming language) | pt_BR |