ArticleBMC genomics2010
Global protein interactome exploration through mining genome-scale data in Arabidopsis thaliana.
Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 19 citations in OpenAlex.
- Prediction of Protein-Protein Interactions by Evidence Combining Methods.International journal of molecular sciences · 2016Review
- Functional genomics, genetics, and bioinformatics.BioMed research international · 2015Article
- Systems analysis of plant functional, transcriptional, physical interaction, and metabolic networks.The Plant cell · 2012Review
- Inferring the Brassica rapa Interactome Using Protein-Protein Interaction Data from Arabidopsis thaliana.Frontiers in plant science · 2012Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany essential cellular processes, such as cellular metabolism, transport, cellular metabolism and most regulatory mechanisms, rely on physical interactions between proteins. Genome-wide protein interactome networks of yeast, human and several other animal organisms have already been established, but this kind of network reminds to be established in the field of plant.
resultsWe first predicted the protein protein interaction in Arabidopsis thaliana with methods, including ortholog, SSBP, gene fusion, gene neighbor, phylogenetic profile, coexpression, protein domain, and used Naïve Bayesian approach next to integrate the results of these methods and text mining data to build a genome-wide protein interactome network. Furthermore, we adopted the data of GO enrichment analysis, pathway, published literature to validate our network, the confirmation of our network shows the feasibility of using our network to predict protein function and other usage.
conclusionsOur interactome is a comprehensive genome-wide network in the organism plant Arabidopsis thaliana, and provides a rich resource for researchers in related field to study the protein function, molecular interaction and potential mechanism under different conditions.
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Registered trials
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