A Least Square Method Based Model for Identifying Protein Complexes in Protein-Protein Interaction Network
المؤلفون المشاركون
Guo, Yingjie
Liu, Yang
Dai, Qiguo
Liu, Xiaoyan
Guo, Maozu
Teng, Zhixia
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-10-23
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Protein complex formed by a group of physical interacting proteins plays a crucial role in cell activities.
Great effort has been made to computationally identify protein complexes from protein-protein interaction (PPI) network.
However, the accuracy of the prediction is still far from being satisfactory, because the topological structures of protein complexes in the PPI network are too complicated.
This paper proposes a novel optimization framework to detect complexes from PPI network, named PLSMC.
The method is on the basis of the fact that if two proteins are in a common complex, they are likely to be interacting.
PLSMC employs this relation to determine complexes by a penalized least squares method.
PLSMC is applied to several public yeast PPI networks, and compared with several state-of-the-art methods.
The results indicate that PLSMC outperforms other methods.
In particular, complexes predicted by PLSMC can match known complexes with a higher accuracy than other methods.
Furthermore, the predicted complexes have high functional homogeneity.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dai, Qiguo& Guo, Maozu& Guo, Yingjie& Liu, Xiaoyan& Liu, Yang& Teng, Zhixia. 2014. A Least Square Method Based Model for Identifying Protein Complexes in Protein-Protein Interaction Network. BioMed Research International،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034546
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dai, Qiguo…[et al.]. A Least Square Method Based Model for Identifying Protein Complexes in Protein-Protein Interaction Network. BioMed Research International No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1034546
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dai, Qiguo& Guo, Maozu& Guo, Yingjie& Liu, Xiaoyan& Liu, Yang& Teng, Zhixia. A Least Square Method Based Model for Identifying Protein Complexes in Protein-Protein Interaction Network. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1034546
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1034546
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر