Literature DB >> 24243660

From proteomes to complexomes in the era of systems biology.

Trevor Clancy1, Eivind Hovig.   

Abstract

Protein complexes carry out almost the entire signaling and functional processes in the cell. The protein complex complement of a cell, and its network of complex-complex interactions, is referred to here as the complexome. Computational methods to predict protein complexes from proteomics data, resulting in network representations of complexomes, have recently being developed. In addition, key advances have been made toward understanding the network and structural organization of complexomes. We review these bioinformatics advances, and their discovery-potential, as well as the merits of integrating proteomics data with emerging methods in systems biology to study protein complex signaling. It is envisioned that improved integration of proteomics and systems biology, incorporating the dynamics of protein complexes in space and time, may lead to more predictive models of cell signaling networks for effective modulation.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Bioinformatics; Network biology; Protein complexes; Protein interactions; Systems biology

Mesh:

Substances:

Year:  2014        PMID: 24243660     DOI: 10.1002/pmic.201300230

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


  7 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

2.  A two-layer integration framework for protein complex detection.

Authors:  Le Ou-Yang; Min Wu; Xiao-Fei Zhang; Dao-Qing Dai; Xiao-Li Li; Hong Yan
Journal:  BMC Bioinformatics       Date:  2016-02-24       Impact factor: 3.169

3.  Towards a Hierarchical Strategy to Explore Multi-Scale IP/MS Data for Protein Complexes.

Authors:  Joachim Kutzera; Age K Smilde; Tom F Wilderjans; Huub C J Hoefsloot
Journal:  PLoS One       Date:  2015-10-08       Impact factor: 3.240

Review 4.  The biochemical and mass spectrometric profiling of the dystrophin complexome from skeletal muscle.

Authors:  Sandra Murphy; Kay Ohlendieck
Journal:  Comput Struct Biotechnol J       Date:  2015-11-26       Impact factor: 7.271

5.  Protein complex detection based on partially shared multi-view clustering.

Authors:  Le Ou-Yang; Xiao-Fei Zhang; Dao-Qing Dai; Meng-Yun Wu; Yuan Zhu; Zhiyong Liu; Hong Yan
Journal:  BMC Bioinformatics       Date:  2016-09-13       Impact factor: 3.169

Review 6.  Experimental detection of short regulatory motifs in eukaryotic proteins: tips for good practice as well as for bad.

Authors:  Toby J Gibson; Holger Dinkel; Kim Van Roey; Francesca Diella
Journal:  Cell Commun Signal       Date:  2015-11-18       Impact factor: 5.712

7.  A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.

Authors:  Le Ou-Yang; Hong Yan; Xiao-Fei Zhang
Journal:  BMC Bioinformatics       Date:  2017-12-01       Impact factor: 3.169

  7 in total

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