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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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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 |
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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 |
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