Literature DB >> 15914543

Comparative interactomics analysis of protein family interaction networks using PSIMAP (protein structural interactome map).

Daeui Park1, Semin Lee, Dan Bolser, Michael Schroeder, Michael Lappe, Donghoon Oh, Jong Bhak.   

Abstract

MOTIVATION: Many genomes have been completely sequenced. However, detecting and analyzing their protein-protein interactions by experimental methods such as co-immunoprecipitation, tandem affinity purification and Y2H is not as fast as genome sequencing. Therefore, a computational prediction method based on the known protein structural interactions will be useful to analyze large-scale protein-protein interaction rules within and among complete genomes.
RESULTS: We confirmed that all the predicted protein family interactomes (the full set of protein family interactions within a proteome) of 146 species are scale-free networks, and they share a small core network comprising 36 protein families related to indispensable cellular functions. We found two fundamental differences among prokaryotic and eukaryotic interactomes: (1) eukarya had significantly more hub families than archaea and bacteria and (2) certain special hub families determined the topology of the eukaryotic interactomes. Our comparative analysis suggests that a very small number of expansive protein families led to the evolution of interactomes and seemed to have played a key role in species diversification. SUPPLEMENTARY INFORMATION: http://interactomics.org.

Mesh:

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Year:  2005        PMID: 15914543     DOI: 10.1093/bioinformatics/bti512

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  Ancient phylogenetic beginnings of immunoglobulin hypermutation.

Authors:  Jaroslav Kubrycht; Karel Sigler; Michal Růzicka; Pavel Soucek; Jirí Borecký; Petr Jezek
Journal:  J Mol Evol       Date:  2006-10-06       Impact factor: 2.395

2.  Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection.

Authors:  Andrés F Flórez; Daeui Park; Jong Bhak; Byoung-Chul Kim; Allan Kuchinsky; John H Morris; Jairo Espinosa; Carlos Muskus
Journal:  BMC Bioinformatics       Date:  2010-09-27       Impact factor: 3.169

Review 3.  Understanding Leishmania parasites through proteomics and implications for the clinic.

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Journal:  Expert Rev Proteomics       Date:  2018-05-02       Impact factor: 3.940

4.  An atlas of combinatorial transcriptional regulation in mouse and man.

Authors:  Timothy Ravasi; Harukazu Suzuki; Carlo Vittorio Cannistraci; Shintaro Katayama; Vladimir B Bajic; Kai Tan; Altuna Akalin; Sebastian Schmeier; Mutsumi Kanamori-Katayama; Nicolas Bertin; Piero Carninci; Carsten O Daub; Alistair R R Forrest; Julian Gough; Sean Grimmond; Jung-Hoon Han; Takehiro Hashimoto; Winston Hide; Oliver Hofmann; Atanas Kamburov; Mandeep Kaur; Hideya Kawaji; Atsutaka Kubosaki; Timo Lassmann; Erik van Nimwegen; Cameron Ross MacPherson; Chihiro Ogawa; Aleksandar Radovanovic; Ariel Schwartz; Rohan D Teasdale; Jesper Tegnér; Boris Lenhard; Sarah A Teichmann; Takahiro Arakawa; Noriko Ninomiya; Kayoko Murakami; Michihira Tagami; Shiro Fukuda; Kengo Imamura; Chikatoshi Kai; Ryoko Ishihara; Yayoi Kitazume; Jun Kawai; David A Hume; Trey Ideker; Yoshihide Hayashizaki
Journal:  Cell       Date:  2010-03-05       Impact factor: 41.582

5.  The development of an affinity evaluation and prediction system by using protein-protein docking simulations and parameter tuning.

Authors:  Koki Tsukamoto; Tatsuya Yoshikawa; Kiyonobu Yokota; Yuichiro Hourai; Kazuhiko Fukui
Journal:  Adv Appl Bioinform Chem       Date:  2009-01-12

6.  A protein domain interaction interface database: InterPare.

Authors:  Sungsam Gong; Changbum Park; Hansol Choi; Junsu Ko; Insoo Jang; Jungsul Lee; Dan M Bolser; Donghoon Oh; Deok-Soo Kim; Jong Bhak
Journal:  BMC Bioinformatics       Date:  2005-08-25       Impact factor: 3.169

7.  AtPID: Arabidopsis thaliana protein interactome database--an integrative platform for plant systems biology.

Authors:  Jian Cui; Peng Li; Guang Li; Feng Xu; Chen Zhao; Yuhua Li; Zhongnan Yang; Guang Wang; Qingbo Yu; Yixue Li; Tieliu Shi
Journal:  Nucleic Acids Res       Date:  2007-10-25       Impact factor: 16.971

8.  Prediction and analysis of the protein interactome in Pseudomonas aeruginosa to enable network-based drug target selection.

Authors:  Minlu Zhang; Shengchang Su; Raj K Bhatnagar; Daniel J Hassett; Long J Lu
Journal:  PLoS One       Date:  2012-07-24       Impact factor: 3.240

9.  Predicting the interactome of Xanthomonas oryzae pathovar oryzae for target selection and DB service.

Authors:  Jeong-Gu Kim; Daeui Park; Byoung-Chul Kim; Seong-Woong Cho; Yeong Tae Kim; Young-Jin Park; Hee Jung Cho; Hyunseok Park; Ki-Bong Kim; Kyong-Oh Yoon; Soo-Jun Park; Byoung-Moo Lee; Jong Bhak
Journal:  BMC Bioinformatics       Date:  2008-01-24       Impact factor: 3.169

10.  Metabolome based reaction graphs of M. tuberculosis and M. leprae: a comparative network analysis.

Authors:  Ketki D Verkhedkar; Karthik Raman; Nagasuma R Chandra; Saraswathi Vishveshwara
Journal:  PLoS One       Date:  2007-09-12       Impact factor: 3.240

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