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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. What is PutidaNET? • 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. Overview of PutidaNET system PEIMAP NCBI Protein interaction analysis PSIMAP iPfam P. Putida KT2440 PutidaNET Functional annotation GO KEGG 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 Functional annotation • 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 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 PutidaNET case study (1/2) • We integrated PPI network with experimental 2 DE/MS-MS data. • We then acquired the protein lists in culture media including succinate and benzoate. B B-S 66 -> Benzoate -> Succinate -> Intersection set of succinate and benzoate -> No information S B∩S 806 S-B 514 PutidaNET case study (2/2) Y axis : Degree Score X axis : Cultured media in carbon source • 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. 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