ArticleGenomics, proteomics & bioinformatics2011
Computational identification of protein-protein interactions in rice based on the predicted rice interactome network.
Article in Genomics, proteomics & bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Genome wide identification of LcC2DPs gene family in Lotus corniculatus provides insights into regulatory network in response to abiotic stresses.Scientific reports · 2025Article
- Single-Cell Insights Into Cellular Response in Abdominal Aortic Occlusion-Induced Hippocampal Injury.CNS neuroscience & therapeutics · 2025Article
- Homologous mapping yielded a comprehensive predicted protein-protein interaction network for peanut (Arachis hypogaea L.).BMC plant biology · 2024Article
- iTRAQ based proteomic analysis of rice lines having single or stacked blast resistance genes:Physiology and molecular biology of plants : an international journal of functional plant biology · 2023Article
- An Improved Genome-Wide Association Procedure Explores Gene-Allele Constitutions and Evolutionary Drives of Growth Period Traits in the Global Soybean Germplasm Population.International journal of molecular sciences · 2023Article
- Computational models for prediction of protein-protein interaction in rice andFrontiers in plant science · 2022Article
- CPIELA: Computational Prediction of Plant Protein-Protein Interactions by Ensemble Learning Approach From Protein Sequences and Evolutionary Information.Frontiers in genetics · 2022Article
- Construction and analysis of an interologous protein-protein interaction network of Camellia sinensis leaf (TeaLIPIN) from RNA-Seq data sets.Plant cell reports · 2019Article
- Large Scale Proteomic Data and Network-Based Systems Biology Approaches to Explore the Plant World.Proteomes · 2018Article
- Prediction and functional analysis of the sweet orange protein-protein interaction network.BMC plant biology · 2014Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Plant protein-protein interaction networks have not been identified by large-scale experiments. In order to better understand the protein interactions in rice, the Predicted Rice Interactome Network (PRIN; http://bis.zju.edu.cn/prin/) presented 76,585 predicted interactions involving 5,049 rice proteins. After mapping genomic features of rice (GO annotation, subcellular localization prediction, and gene expression), we found that a well-annotated and biologically significant network is rich enough to capture many significant functional linkages within higher-order biological systems, such as pathways and biological processes. Furthermore, we took MADS-box domain-containing proteins and circadian rhythm signaling pathways as examples to demonstrate that functional protein complexes and biological pathways could be effectively expanded in our predicted network. The expanded molecular network in PRIN has considerably improved the capability of these analyses to integrate existing knowledge and provide novel insights into the function and coordination of genes and gene networks.
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