Literature DB >> 24339054

Dynamic protein interaction network construction and applications.

Jianxin Wang1, Xiaoqing Peng, Wei Peng, Fang-Xiang Wu.   

Abstract

With more dynamic information available, researchers' attention has recently shifted from static properties to dynamic properties of protein-protein interaction networks. To compensate the limited ability of technologies of detecting dynamic protein-protein interactions, dynamic protein interaction networks (DPINs) can be constructed by involving proteomic, genomic, and transcriptome analyses. Two groups of DPIN construction methods are classified based on the different focuses on dynamic information extracted from gene expression data. The dynamics of one kind of DPINs is reflected by the changes in protein presence varying with time, while that of the other kind of DPINs is reflected by the differences of coexpression under different conditions. In this review, the applications on DPINs will be discussed, including protein complexes/functional modules and network organization analysis, biomarkers detection in the progression or prognosis of the disease, and network medicine. We also point out the challenges in DPINs construction and future directions in the research of DPINs at the end of this review.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Bioinformatics; Biomarker; Dynamic protein interaction networks; Gene expression; Network medicine; Protein complex

Mesh:

Substances:

Year:  2014        PMID: 24339054     DOI: 10.1002/pmic.201300257

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  26 in total

1.  A seed-extended algorithm for detecting protein complexes based on density and modularity with topological structure and GO annotations.

Authors:  Rongquan Wang; Caixia Wang; Liyan Sun; Guixia Liu
Journal:  BMC Genomics       Date:  2019-08-07       Impact factor: 3.969

Review 2.  Construction and contextualization approaches for protein-protein interaction networks.

Authors:  Apurva Badkas; Sébastien De Landtsheer; Thomas Sauter
Journal:  Comput Struct Biotechnol J       Date:  2022-06-18       Impact factor: 6.155

3.  The arachidonic acid metabolism protein-protein interaction network and its expression pattern in esophageal diseases.

Authors:  Bingli Wu; Chunying Bai; Zepeng Du; Haiying Zou; Jianyi Wu; Wenming Xie; Pixian Zhang; Liyan Xu; Enmin Li
Journal:  Am J Transl Res       Date:  2018-03-15       Impact factor: 4.060

4.  Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison.

Authors:  Wei Peng; Jianxin Wang; Fangxiang Wu; Pan Yi
Journal:  Algorithms Mol Biol       Date:  2015-06-30       Impact factor: 1.405

5.  Improving protein function prediction using domain and protein complexes in PPI networks.

Authors:  Wei Peng; Jianxin Wang; Juan Cai; Lu Chen; Min Li; Fang-Xiang Wu
Journal:  BMC Syst Biol       Date:  2014-03-24

6.  Identifying hierarchical and overlapping protein complexes based on essential protein-protein interactions and "seed-expanding" method.

Authors:  Jun Ren; Wei Zhou; Jianxin Wang
Journal:  Biomed Res Int       Date:  2014-06-30       Impact factor: 3.411

7.  Prediction of disease genes using tissue-specified gene-gene network.

Authors:  Gamage Ganegoda; JianXin Wang; Fang-Xiang Wu; Min Li
Journal:  BMC Syst Biol       Date:  2014-10-22

8.  Prediction of disease-related genes based on weighted tissue-specific networks by using DNA methylation.

Authors:  Min Li; Jiayi Zhang; Qing Liu; Jianxin Wang; Fang-Xiang Wu
Journal:  BMC Med Genomics       Date:  2014-10-22       Impact factor: 3.063

9.  Identifying dynamic protein complexes based on gene expression profiles and PPI networks.

Authors:  Min Li; Weijie Chen; Jianxin Wang; Fang-Xiang Wu; Yi Pan
Journal:  Biomed Res Int       Date:  2014-05-18       Impact factor: 3.411

10.  Detecting temporal protein complexes from dynamic protein-protein interaction networks.

Authors:  Le Ou-Yang; Dao-Qing Dai; Xiao-Li Li; Min Wu; Xiao-Fei Zhang; Peng Yang
Journal:  BMC Bioinformatics       Date:  2014-10-04       Impact factor: 3.169

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