Cargando…

A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection

Background. Respiratory syncytial virus (RSV) infection is the major cause of respiratory disease in lower respiratory tract in infants and young children. Attempts to develop effective vaccines or pharmacological treatments to inhibit RSV infection without undesired effects on human health have bee...

Descripción completa

Detalles Bibliográficos
Autores principales: Vargas, José Eduardo, Puga, Renato, Poloni, Joice de Faria, Saraiva Macedo Timmers, Luis Fernando, Porto, Barbara Nery, Norberto de Souza, Osmar, Bonatto, Diego, Condessa Pitrez, Paulo Márcio, Tetelbom Stein, Renato
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386546/
https://www.ncbi.nlm.nih.gov/pubmed/25879022
http://dx.doi.org/10.1155/2015/301635
_version_ 1782365183647154176
author Vargas, José Eduardo
Puga, Renato
Poloni, Joice de Faria
Saraiva Macedo Timmers, Luis Fernando
Porto, Barbara Nery
Norberto de Souza, Osmar
Bonatto, Diego
Condessa Pitrez, Paulo Márcio
Tetelbom Stein, Renato
author_facet Vargas, José Eduardo
Puga, Renato
Poloni, Joice de Faria
Saraiva Macedo Timmers, Luis Fernando
Porto, Barbara Nery
Norberto de Souza, Osmar
Bonatto, Diego
Condessa Pitrez, Paulo Márcio
Tetelbom Stein, Renato
author_sort Vargas, José Eduardo
collection PubMed
description Background. Respiratory syncytial virus (RSV) infection is the major cause of respiratory disease in lower respiratory tract in infants and young children. Attempts to develop effective vaccines or pharmacological treatments to inhibit RSV infection without undesired effects on human health have been unsuccessful. However, RSV infection has been reported to be affected by flavonoids. The mechanisms underlying viral inhibition induced by these compounds are largely unknown, making the development of new drugs difficult. Methods. To understand the mechanisms induced by flavonoids to inhibit RSV infection, a systems pharmacology-based study was performed using microarray data from primary culture of human bronchial cells infected by RSV, together with compound-proteomic interaction data available for Homo sapiens. Results. After an initial evaluation of 26 flavonoids, 5 compounds (resveratrol, quercetin, myricetin, apigenin, and tricetin) were identified through topological analysis of a major chemical-protein (CP) and protein-protein interacting (PPI) network. In a nonclustered form, these flavonoids regulate directly the activity of two protein bottlenecks involved in inflammation and apoptosis. Conclusions. Our findings may potentially help uncovering mechanisms of action of early RSV infection and provide chemical backbones and their protein targets in the difficult quest to develop new effective drugs.
format Online
Article
Text
id pubmed-4386546
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-43865462015-04-15 A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection Vargas, José Eduardo Puga, Renato Poloni, Joice de Faria Saraiva Macedo Timmers, Luis Fernando Porto, Barbara Nery Norberto de Souza, Osmar Bonatto, Diego Condessa Pitrez, Paulo Márcio Tetelbom Stein, Renato Biomed Res Int Research Article Background. Respiratory syncytial virus (RSV) infection is the major cause of respiratory disease in lower respiratory tract in infants and young children. Attempts to develop effective vaccines or pharmacological treatments to inhibit RSV infection without undesired effects on human health have been unsuccessful. However, RSV infection has been reported to be affected by flavonoids. The mechanisms underlying viral inhibition induced by these compounds are largely unknown, making the development of new drugs difficult. Methods. To understand the mechanisms induced by flavonoids to inhibit RSV infection, a systems pharmacology-based study was performed using microarray data from primary culture of human bronchial cells infected by RSV, together with compound-proteomic interaction data available for Homo sapiens. Results. After an initial evaluation of 26 flavonoids, 5 compounds (resveratrol, quercetin, myricetin, apigenin, and tricetin) were identified through topological analysis of a major chemical-protein (CP) and protein-protein interacting (PPI) network. In a nonclustered form, these flavonoids regulate directly the activity of two protein bottlenecks involved in inflammation and apoptosis. Conclusions. Our findings may potentially help uncovering mechanisms of action of early RSV infection and provide chemical backbones and their protein targets in the difficult quest to develop new effective drugs. Hindawi Publishing Corporation 2015 2015-03-22 /pmc/articles/PMC4386546/ /pubmed/25879022 http://dx.doi.org/10.1155/2015/301635 Text en Copyright © 2015 José Eduardo Vargas et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Vargas, José Eduardo
Puga, Renato
Poloni, Joice de Faria
Saraiva Macedo Timmers, Luis Fernando
Porto, Barbara Nery
Norberto de Souza, Osmar
Bonatto, Diego
Condessa Pitrez, Paulo Márcio
Tetelbom Stein, Renato
A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection
title A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection
title_full A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection
title_fullStr A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection
title_full_unstemmed A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection
title_short A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection
title_sort network flow approach to predict protein targets and flavonoid backbones to treat respiratory syncytial virus infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4386546/
https://www.ncbi.nlm.nih.gov/pubmed/25879022
http://dx.doi.org/10.1155/2015/301635
work_keys_str_mv AT vargasjoseeduardo anetworkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT pugarenato anetworkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT polonijoicedefaria anetworkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT saraivamacedotimmersluisfernando anetworkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT portobarbaranery anetworkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT norbertodesouzaosmar anetworkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT bonattodiego anetworkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT condessapitrezpaulomarcio anetworkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT tetelbomsteinrenato anetworkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT vargasjoseeduardo networkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT pugarenato networkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT polonijoicedefaria networkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT saraivamacedotimmersluisfernando networkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT portobarbaranery networkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT norbertodesouzaosmar networkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT bonattodiego networkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT condessapitrezpaulomarcio networkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection
AT tetelbomsteinrenato networkflowapproachtopredictproteintargetsandflavonoidbackbonestotreatrespiratorysyncytialvirusinfection