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A Network Flow Approach to Predict Protein Targets and Flavonoid Backbones to Treat Respiratory Syncytial Virus Infection
المؤلفون المشاركون
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
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-03-23
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1054961
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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