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

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Title
PutidaNET: Interactome database service and network analysis of Pseudomonas putida KT2440
Author(s)
Seongjin Park; J S Choi; B C Kim; Sung Woong Cho; J W Ryu; D Park; K A Lee; Jong Hwa Park; S I Kim
Bibliographic Citation
BMC Genomics, vol. 10, no. Sup 3, pp. S18-S18
Publication Year
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.
ISSN
1471-2164
Publisher
Springer-BMC
DOI
http://dx.doi.org/10.1186/1471-2164-10-S3-S18
Type
Article
Appears in Collections:
Korea Bioinformation Center > 1. Journal Articles
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