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This article is part of the supplement: Eighth International Conference on Bioinformatics (InCoB2009): Computational Biology

Open Access Proceedings

PutidaNET: Interactome database service and network analysis of Pseudomonas putida KT2440

Seong-Jin Park1, Jong-Soon Choi23, Byoung-Chul Kim1, Seong-Woong Jho1, Jea-Woon Ryu1, Daeui Park1, Kyung-A Lee1, Jong Bhak1* and Seung Il Kim2*

Author affiliations

1 Korean BioInformation Center (KOBIC), KRIBB, Daejeon 305-806, Korea

2 Proteomics Research Team, Korea Basic Science Institute, Daejeon 305-333, Korea

3 Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 305-764, Korea

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Citation and License

BMC Genomics 2009, 10(Suppl 3):S18  doi:10.1186/1471-2164-10-S3-S18

Published: 3 December 2009

Abstract

Background

Pseudomonas putida KT2440 (P. putida KT2440) is a highly versatile saprophytic soil bacterium. It is a certified bio-safety host for transferring foreign genes. Therefore, the bacterium is used as a model organism for genetic and physiological studies and for the development of biotechnological applications. In order to provide a more systematic application of the organism, we have constructed a protein-protein interaction (PPI) network analysis system of P. putida KT2440.

Results

PutidaNET is a comprehensive interaction database and server of P. putida KT2440 which is generated from three protein-protein interaction (PPI) methods. We used PSIMAP (Protein Structural Interactome MAP), PEIMAP (Protein Experimental Interactome MAP), and Domain-domain interactions using iPfam. PutidaNET contains 3,254 proteins, and 82,019 possible interactions consisting of 61,011 (PSIMAP), 4,293 (PEIMAP), and 30,043 (iPfam) interaction pairs except for self interaction. Also, we performed a case study by integrating a protein interaction network and experimental 1-DE/MS-MS analysis data P. putida. We found that 1) major functional modules are involved in various metabolic pathways and ribosomes, and 2) existing PPI sub-networks that are specific to succinate or benzoate metabolism are not in the center as predicted.

Conclusion

We introduce the PutidaNET which provides predicted interaction partners and functional analyses such as physicochemical properties, KEGG pathway assignment, and Gene Ontology mapping of P. putida KT2440 PutidaNET is freely available at http://sequenceome.kobic.kr/PutidaNET webcite.