Arabidopsis Interactions Viewer

Arabidopsis Interactions Viewer maps proteome-scale protein-protein and protein-DNA interaction networks in Arabidopsis thaliana to support analysis of proteome functional organization.

Key Features:

• Proteome-wide Interaction Prediction: Uses structure-based prediction methodologies combining experimentally determined and computationally predicted protein structures to generate proteome-wide interaction candidates for Arabidopsis thaliana.
• Docking Algorithm Efficiency: Employs a specialized docking algorithm to evaluate 0.91 million pairwise combinations derived from 1,346 predicted structure models in the Arabidopsis "structure-ome," producing enrichment of true interactions among top-ranked predictions.
• Validation Success Rate: Computational predictions show a validation success rate equal to 63% of published yeast two-hybrid system results and are 2.7-fold more effective than random protein pair selection.
• Comprehensive Interaction Database: Aggregates approximately 2.8 million protein-protein and protein-DNA interactions derived from computational predictions and experimental validations.

Scientific Applications:

• Functional Genomics: Supports inference of gene function and regulatory mechanisms in Arabidopsis thaliana through interaction contexts.
• Network Biology: Enables reconstruction and analysis of biological networks to study systemic properties and emergent cellular behaviors.
• Hypothesis Generation: Provides extensive interaction data for generating hypotheses about protein function, interaction dynamics, and pathway relationships.
• Comparative Studies: Facilitates comparative analyses across species or experimental conditions using structured interaction datasets.

Methodology:

Structure-based prediction using experimentally determined and computationally predicted protein structures; a specialized docking algorithm evaluated 0.91 million pairwise combinations from 1,346 predicted structure models; cosubcellular enrichment analysis was used to assess prediction enrichment.