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

Joint Authors

Norberto de Souza, Osmar
Vargas, José Eduardo
Puga, Renato
Poloni, Joice de Faria
Saraiva Macedo Timmers, Luis Fernando
Porto, Barbara Nery
Bonatto, Diego
Condessa Pitrez, Paulo Márcio
Tetelbom Stein, Renato

Source

BioMed Research International

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-03-23

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Vargas, José Eduardo& Puga, Renato& Poloni, Joice de Faria& Saraiva Macedo Timmers, Luis Fernando& Porto, Barbara Nery& Norberto de Souza, Osmar…[et al.]. 2015. A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection. BioMed Research International،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1054961

Modern Language Association (MLA)

Vargas, José Eduardo…[et al.]. A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection. BioMed Research International No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1054961

American Medical Association (AMA)

Vargas, José Eduardo& Puga, Renato& Poloni, Joice de Faria& Saraiva Macedo Timmers, Luis Fernando& Porto, Barbara Nery& Norberto de Souza, Osmar…[et al.]. A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1054961

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1054961