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A Kinetic-Model-Based Approach to Identify Malfunctioning Components in Signal Transduction Pathways from Artificial Clinical Data
المؤلفون المشاركون
Li, Xianhua
Ribaudo, Nicholas
Huang, Zuyi (Jacky)
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-11-29
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
Detection of malfunctioning reactions or molecules from clinical data is essential for disease treatments.
In order to find an alternative to the existing oversimplistic mathematical models, a kinetic model is developed in this work to infer the malfunctioning reactions/molecules by quantifying the similarity between the clinical profile and the output profiles predicted from the model in which certain reactions/molecules malfunction.
The new approach was tested in IL-6 and TNF-α/NF-κB signaling pathway, for four abnormal conditions including up/downregulation of single reaction rate constants and up/downregulation of single molecules.
Since limited quantitative clinical data were available, the IL-6 ODE model was used to generate artificial clinical data for the abnormal steady-state value shown in two key molecules: nuclear STAT3 and SOCS3.
Similarly, the TNF-α/NF-κB model was used to obtain the data in which abnormal oscillation dynamic was shown in the profile of NF-κB.
The results show that the approach developed in this study was able to successfully identify the malfunctioning reactions and molecules from the clinical data.
It was also found that this new approach was noise-robust and that it managed to reveal unique solution for the faulty components in a network.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Xianhua& Ribaudo, Nicholas& Huang, Zuyi (Jacky). 2015. A Kinetic-Model-Based Approach to Identify Malfunctioning Components in Signal Transduction Pathways from Artificial Clinical Data. BioMed Research International،Vol. 2015, no. 2015, pp.1-19.
https://search.emarefa.net/detail/BIM-1055398
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Xianhua…[et al.]. A Kinetic-Model-Based Approach to Identify Malfunctioning Components in Signal Transduction Pathways from Artificial Clinical Data. BioMed Research International No. 2015 (2015), pp.1-19.
https://search.emarefa.net/detail/BIM-1055398
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Xianhua& Ribaudo, Nicholas& Huang, Zuyi (Jacky). A Kinetic-Model-Based Approach to Identify Malfunctioning Components in Signal Transduction Pathways from Artificial Clinical Data. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-19.
https://search.emarefa.net/detail/BIM-1055398
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1055398
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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