Literature DB >> 23076246

Applying modularity analysis of PPI networks to sequenced organisms.

Xia Wang1, Xianwen Ren, Beiping Li, Junjie Yue, Long Liang.   

Abstract

The interaction between proteins is one of the most important features of protein functions. In general, the protein-protein interactions (PPIs) network of an organism is very complex, consisting of huge amount of PPIs. Functional modules can be identified from the complex protein interaction networks. It follows that the investigation of functional modules will generate a better understanding of cellular organization, processes and functions. However, it is a great challenge to apply modularity analysis to under-studied organism, even though this organism has already been sequenced, as there are few or none experimental validated PPI data for them. Therefore, by integrating several bioinformatics methods, we provide a solution for modularity analysis of any sequenced organism. By this way, new information may be found for the organism in different level, such as protein-protein interaction, pathways or cellular process. For the computation part, it takes one to two weeks. The main impact factors are computer power and size of the PPI network. It takes longer time for the manually analysis of biological meanings of the modules.

Mesh:

Year:  2012        PMID: 23076246      PMCID: PMC3485987          DOI: 10.4161/viru.21104

Source DB:  PubMed          Journal:  Virulence        ISSN: 2150-5594            Impact factor:   5.882


  10 in total

1.  Hierarchical organization of modularity in metabolic networks.

Authors:  E Ravasz; A L Somera; D A Mongru; Z N Oltvai; A L Barabási
Journal:  Science       Date:  2002-08-30       Impact factor: 47.728

2.  Protein interaction networks of Saccharomyces cerevisiae, Caenorhabditis elegans and Drosophila melanogaster: large-scale organization and robustness.

Authors:  Dong Li; Jianqi Li; Shuguang Ouyang; Jian Wang; Songfeng Wu; Ping Wan; Yunping Zhu; Xiaojie Xu; Fuchu He
Journal:  Proteomics       Date:  2006-01       Impact factor: 3.984

3.  Proteome survey reveals modularity of the yeast cell machinery.

Authors:  Anne-Claude Gavin; Patrick Aloy; Paola Grandi; Roland Krause; Markus Boesche; Martina Marzioch; Christina Rau; Lars Juhl Jensen; Sonja Bastuck; Birgit Dümpelfeld; Angela Edelmann; Marie-Anne Heurtier; Verena Hoffman; Christian Hoefert; Karin Klein; Manuela Hudak; Anne-Marie Michon; Malgorzata Schelder; Markus Schirle; Marita Remor; Tatjana Rudi; Sean Hooper; Andreas Bauer; Tewis Bouwmeester; Georg Casari; Gerard Drewes; Gitte Neubauer; Jens M Rick; Bernhard Kuster; Peer Bork; Robert B Russell; Giulio Superti-Furga
Journal:  Nature       Date:  2006-01-22       Impact factor: 49.962

4.  Predicting protein-protein interactions from protein domains using a set cover approach.

Authors:  Chengbang Huang; Faruck Morcos; Simon P Kanaan; Stefan Wuchty; Danny Z Chen; Jesús A Izaguirre
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2007 Jan-Mar       Impact factor: 3.710

5.  Complete genome sequence of enterohemorrhagic Escherichia coli O157:H7 and genomic comparison with a laboratory strain K-12.

Authors:  T Hayashi; K Makino; M Ohnishi; K Kurokawa; K Ishii; K Yokoyama; C G Han; E Ohtsubo; K Nakayama; T Murata; M Tanaka; T Tobe; T Iida; H Takami; T Honda; C Sasakawa; N Ogasawara; T Yasunaga; S Kuhara; T Shiba; M Hattori; H Shinagawa
Journal:  DNA Res       Date:  2001-02-28       Impact factor: 4.458

6.  Evaluation of clustering algorithms for protein-protein interaction networks.

Authors:  Sylvain Brohée; Jacques van Helden
Journal:  BMC Bioinformatics       Date:  2006-11-06       Impact factor: 3.169

7.  Inferring domain-domain interactions from protein-protein interactions.

Authors:  Minghua Deng; Shipra Mehta; Fengzhu Sun; Ting Chen
Journal:  Genome Res       Date:  2002-10       Impact factor: 9.043

8.  Global landscape of protein complexes in the yeast Saccharomyces cerevisiae.

Authors:  Nevan J Krogan; Gerard Cagney; Haiyuan Yu; Gouqing Zhong; Xinghua Guo; Alexandr Ignatchenko; Joyce Li; Shuye Pu; Nira Datta; Aaron P Tikuisis; Thanuja Punna; José M Peregrín-Alvarez; Michael Shales; Xin Zhang; Michael Davey; Mark D Robinson; Alberto Paccanaro; James E Bray; Anthony Sheung; Bryan Beattie; Dawn P Richards; Veronica Canadien; Atanas Lalev; Frank Mena; Peter Wong; Andrei Starostine; Myra M Canete; James Vlasblom; Samuel Wu; Chris Orsi; Sean R Collins; Shamanta Chandran; Robin Haw; Jennifer J Rilstone; Kiran Gandi; Natalie J Thompson; Gabe Musso; Peter St Onge; Shaun Ghanny; Mandy H Y Lam; Gareth Butland; Amin M Altaf-Ul; Shigehiko Kanaya; Ali Shilatifard; Erin O'Shea; Jonathan S Weissman; C James Ingles; Timothy R Hughes; John Parkinson; Mark Gerstein; Shoshana J Wodak; Andrew Emili; Jack F Greenblatt
Journal:  Nature       Date:  2006-03-22       Impact factor: 49.962

9.  Functional and topological characterization of protein interaction networks.

Authors:  Soon-Hyung Yook; Zoltán N Oltvai; Albert-László Barabási
Journal:  Proteomics       Date:  2004-04       Impact factor: 3.984

10.  Modularity analysis based on predicted protein-protein interactions provides new insights into pathogenicity and cellular process of Escherichia coli O157:H7.

Authors:  Xia Wang; Junjie Yue; Xianwen Ren; Yuelan Wang; Mingfeng Tan; Beiping Li; Long Liang
Journal:  Theor Biol Med Model       Date:  2011-12-22       Impact factor: 2.432

  10 in total
  1 in total

1.  Integral analyses of survival-related long non-coding RNA MIR210HG and its prognostic role in colon cancer.

Authors:  Zhaohui Ruan; Zixuan Xu; Zhaozhi Li; Yanni Lv
Journal:  Oncol Lett       Date:  2019-06-04       Impact factor: 2.967

  1 in total

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