Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC

المؤلفون المشاركون

Lei, Xiujuan
Zhao, Jie
Wu, Fang-Xiang

المصدر

Complexity

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-08-28

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الفلسفة

الملخص EN

Protein complexes play a critical role in understanding the biological processes and the functions of cellular mechanisms.

Most existing protein complex detection algorithms cannot reflect dynamics of protein complexes.

In this paper, a novel algorithm named Improved Cuckoo Search Clustering (ICSC) algorithm is proposed to detect protein complexes in weighted dynamic protein-protein interaction (PPI) networks.

First, we constructed weighted dynamic PPI networks and detected protein complex cores in each dynamic subnetwork.

Then, ICSC algorithm was used to cluster the protein attachments to the cores.

The experimental results on both DIP dataset and Krogan dataset demonstrated that ICSC algorithm is more effective in identifying protein complexes than other competing methods.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zhao, Jie& Lei, Xiujuan& Wu, Fang-Xiang. 2017. Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC. Complexity،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1142825

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zhao, Jie…[et al.]. Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC. Complexity No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1142825

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zhao, Jie& Lei, Xiujuan& Wu, Fang-Xiang. Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC. Complexity. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1142825

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1142825