ArticleNucleic acids research2011
PAIR: the predicted Arabidopsis interactome resource.
Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Predicted mouse interactome and network-based interpretation of differentially expressed genes.PloS one · 2022Article
- HIR V2: a human interactome resource for the biological interpretation of differentially expressed genes via gene set linkage analysis.Database : the journal of biological databases and curation · 2021Article
- Basic Protein Modules Combining Abscisic Acid and Light Signaling inFrontiers in plant science · 2021Review
- Predicted rat interactome database and gene set linkage analysis.Database : the journal of biological databases and curation · 2020Article
- Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes.Biology direct · 2020Article
- The tapeworm interactome: inferring confidence scored protein-protein interactions from the proteome of Hymenolepis microstoma.BMC genomics · 2020Article
- MYCs and PIFs Act Independently in Arabidopsis Growth Regulation.G3 (Bethesda, Md.) · 2020Article
- Exploring dynamic protein-protein interactions in cassava through the integrative interactome network.Scientific reports · 2020Article
- JCDB: a comprehensive knowledge base for Jatropha curcas, an emerging model for woody energy plants.BMC genomics · 2019Article
- Prediction of cassava protein interactome based on interolog method.Scientific reports · 2017Article
- AtPID: a genome-scale resource for genotype-phenotype associations in Arabidopsis.Nucleic acids research · 2017Article
- Prediction of Protein-Protein Interactions by Evidence Combining Methods.International journal of molecular sciences · 2016Review
- Reconstruction and Application of Protein-Protein Interaction Network.International journal of molecular sciences · 2016Review
- Techniques for the Analysis of Protein-Protein Interactions in Vivo.Plant physiology · 2016Review
- PTIR: Predicted Tomato Interactome Resource.Scientific reports · 2016Article
- PlantPAN 2.0: an update of plant promoter analysis navigator for reconstructing transcriptional regulatory networks in plants.Nucleic acids research · 2016Article
- Genome-wide protein-protein interactions and protein function exploration in cyanobacteria.Scientific reports · 2015Article
- K-homology nuclear ribonucleoproteins regulate floral organ identity and determinacy in arabidopsis.PLoS genetics · 2015Article
- Review
- Predicting whole genome protein interaction networks from primary sequence data in model and non-model organisms using ENTS.BMC genomics · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The predicted Arabidopsis interactome resource (PAIR, http://www.cls.zju.edu.cn/pair/), comprised of 5990 experimentally reported molecular interactions in Arabidopsis thaliana together with 145,494 predicted interactions, is currently the most comprehensive data set of the Arabidopsis interactome with high reliability. PAIR predicts interactions by a fine-tuned support vector machine model that integrates indirect evidences for interaction, such as gene co-expressions, domain interactions, shared GO annotations, co-localizations, phylogenetic profile similarities and homologous interactions in other organisms (interologs). These predictions were expected to cover 24% of the entire Arabidopsis interactome, and their reliability was estimated to be 44%. Two independent example data sets were used to rigorously validate the prediction accuracy. PAIR features a user-friendly query interface, providing rich annotation on the relationships between two proteins. A graphical interaction network browser has also been integrated into the PAIR web interface to facilitate mining of specific pathways.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.