Affordable Access

Access to the full text

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

Authors
  • Park, Seong-Jin1
  • Choi, Jong-Soon2, 3
  • Kim, Byoung-Chul1
  • Jho, Seong-Woong1
  • Ryu, Jea-Woon1
  • Park, Daeui1
  • Lee, Kyung-A1
  • Bhak, Jong1
  • Kim, Seung Il2
  • 1 KRIBB, Korean BioInformation Center (KOBIC), Daejeon, 305-806, Korea , Daejeon
  • 2 Korea Basic Science Institute, Proteomics Research Team, Daejeon, 305-333, Korea , Daejeon
  • 3 Chungnam National University, Graduate School of Analytical Science and Technology, Daejeon, 305-764, Korea , Daejeon
Type
Published Article
Journal
BMC Genomics
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Dec 03, 2009
Volume
10
Issue
Suppl 3
Identifiers
DOI: 10.1186/1471-2164-10-S3-S18
Source
Springer Nature
Keywords
License
Yellow

Abstract

BackgroundPseudomonas 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.ResultsPutidaNET 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.ConclusionWe 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.

Report this publication

Statistics

Seen <100 times