Abstract

BackgroundProtein-protein interactions (PPIs) constitute one of the most crucial conditions to sustain life in living organisms. To study PPI in Arabidopsis thaliana we have developed AtPIN, a database and web interface for searching and building interaction networks based on publicly available protein-protein interaction datasets.DescriptionAll interactions were divided into experimentally demonstrated or predicted. The PPIs in the AtPIN database present a cellular compartment classification (C3) which divides the PPI into 4 classes according to its interaction evidence and subcellular localization. It has been shown in the literature that a pair of genuine interacting proteins are generally expected to have a common cellular role and proteins that have common interaction partners have a high chance of sharing a common function. In AtPIN, due to its integrative profile, the reliability index for a reported PPI can be postulated in terms of the proportion of interaction partners that two proteins have in common. For this, we implement the Functional Similarity Weight (FSW) calculation for all first level interactions present in AtPIN database. In order to identify target proteins of cytosolic glutamyl-tRNA synthetase (Cyt-gluRS) (AT5G26710) we combined two approaches, AtPIN search and yeast two-hybrid screening. Interestingly, the proteins glutamine synthetase (AT5G35630), a disease resistance protein (AT3G50950) and a zinc finger protein (AT5G24930), which has been predicted as target proteins for Cyt-gluRS by AtPIN, were also detected in the experimental screening.ConclusionsAtPIN is a friendly and easy-to-use tool that aggregates information on Arabidopsis thaliana PPIs, ontology, and sub-cellular localization, and might be a useful and reliable strategy to map protein-protein interactions in Arabidopsis. AtPIN can be accessed at http://bioinfo.esalq.usp.br/atpin.

Highlights

  • Protein-protein interactions (PPIs) constitute one of the most crucial conditions to sustain life in living organisms

  • The effectiveness of using FSWeight as a PPI reliability index was demonstrated using 19.452 interactions in yeast obtained from the GRID database [39], over 80% of the top 10% of protein interactions ranked by FSWeight have a common cellular role and over 90% of them have a common subcellular localization [32,38]

  • In Arabidopsis thaliana Protein Interaction Network (AtPIN), using the same top 10% of protein interactions ranked by FSWeight, we show that 59% PPIs share the same sub-cellular compartment and 83% have the same function or participate in the same cellular process

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Summary

Conclusions

AtPIN is a user-friendly tool to aggregate information on Arabidopsis thaliana PPIs, ontology, and subcellular locali-. YFeigaustretw2o-hybrid confirmation of a predicted interaction Yeast two-hybrid confirmation of a predicted interaction. Assays use a Gal based yeast twohybrid system. This database may help in elucidating the intricate network of A. thaliana protein interactions. The XGMML and SIF file generation may help in the construction of more complex PPI networks with no previous computer language knowledge since these files can be merged and edited. To take full advantage of the AtPIN system, a user's web browser should support AJAX and JAVA. All data downloaded from the AtPIN server are tab-delimited ASCII format. MCSF provided guidance during all phases of planning, designing, testing and implementing AtPIN.

Background
Utility and discussion
Kaiser J
Findings
14. Ciruela F
20. Poole RL
Full Text
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