PutidaNET :Interactome database service and network analysis of
Pseudomonas putida KT2440 (P. putida KT2440)
Korean BioInformation Center (KOBIC) Seong-Jin, Park
Pseudomonas putida (P. putida)
• A ubiquitous bacterium which can break down
a variety of organic materials for food.
• Plays vital role in recycling of organic wastes and degradation of biogenic and xenobiotic pollutants present in the environment.
• A model organism for genetic and physiological studies and for
the development of biotechnological applications.
Why Protein Interactome is important?
• To provide valuable insights into biological functions and processes in cells.
• To provide important clues about how to interpret metabolic
pathways of enzymes.
• Comprehensive interaction database which provides predicted protein-protein interaction information of P. putida
• A web server that provides various kinds of functional information such
as physico-chemical properties, biological pathways, and gene
ontology of protein.
What is PutidaNET?
Overview of PutidaNET system
Functional annotation
Protein interaction
analysis
PutidaNET
PEIMAP
PSIMAP
iPfam
KEGG
GO
NCBI
P. Putida KT2440
Protein-protein interaction prediction methods
• PSIMAP (Protein Structural Interaction)
The interactions among proteins by using BLASTP algorithm with a common expectation value (0.0001).
• PEIMAP (Protein Experimental Interaction)
Integrating various experimental protein-protein interaction database such as BIND, DIP, MINT, HPRD and BioGrid.
• iPfam
Alignment of Pfam domains of all the P. putida proteins with hmmpfam by the cut-off of expectation value (0.01).
PSIMAP & PEIMAP
• The biological function information using KEGG and GO databases.
• General information about proteins such as hydropathy scores, subcellular- localization, GRAVY score, and protein instability index.
Provides valuable insight into protein functions and help to understand the PPI networks of P.putida
Functional annotation
PutidaNET statistics
• 3,254 proteins for P. putida KT2440, contains 82,019 predicted PPI partners.
• PPIs are ranked by confidence score base on reliability.
Confidence Score = 1- π(1-Ri)3
= 1- (1-RPEIMAP)(1-RPSIMAP)(1-RiPfam) I : Interaction method used
R : Reliability of each method
• We integrated PPI network with experimental 2 DE/MS-MS data.
• We then acquired the protein lists in culture media including succinate and benzoate.
PutidaNET case study (1/2)
-> Benzoate
-> Succinate
-> Intersection set of succinate and benzoate
-> No information
B S
B-S S-BB∩S
66 806 514
PutidaNET case study (2/2)
• We calculated the degree score for the network.
• We found that the main protein network of P.putida is regulated by an intersection set of succinate and benzoate.
Y axis : Degree ScoreX axis : Cultured media in carbon source
Web interface
NP_742815.1
Web interface
Interaction partners
Web interface
Web interface
PutidaNET
• An integration of mutually complementary protein-protein
interactions for the systematic analysis of P. putida.
• Provide the highly predicted PPIs by ranking using confidence score
• Researchers to access and obtain information through an
automatic annotation for queried protein.
• PutidaNET: http://sequenceome.kobic.kr/PutidaNET
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