Interactome3D

Interactome3D provides atomic-resolution structural annotations and automatically generated three-dimensional models for protein–protein interactions to enable molecular-level interpretation of interaction networks.


Key Features:

  • Structural annotation: Provides atomic-resolution annotations of protein–protein interactions.
  • Coverage: Contains structural details for over 12,000 protein–protein interactions across eight model organisms.
  • Computational modeling: Generates three-dimensional models of protein complexes through automated modeling routines.
  • Data integration: Integrates interaction data from major pathway repositories.
  • Cross-species input: Accepts newly discovered interactions and pathways from any species for structural analysis.
  • Template selection: Selects optimal structural templates for model building.
  • Automation: Employs a fully automated process to build structural models.

Scientific Applications:

  • Molecular interpretation of pathways: Enables exploration of protein interactions within complex biological pathways at the structural level.
  • Mutation impact analysis: Supports investigation of how mutations, including disease-causing mutations, may affect protein function and interaction networks.
  • Pathway annotation: Has been used to structurally annotate the complement cascade pathway and suggest mechanistic hypotheses.
  • Interaction network enrichment: Provides a structural repository to augment existing interaction datasets for downstream structural and functional studies.

Methodology:

Interactome3D integrates interaction data from major pathway repositories, selects optimal structural templates, and uses a fully automated process to generate three-dimensional, atomic-resolution models and structural annotations.

Topics

Details

Added:
1/25/2021
Last Updated:
11/24/2024

Operations

Publications

Mosca R, Céol A, Aloy P. Interactome3D: adding structural details to protein networks. Nature Methods. 2013;10(1):47-53. doi:10.1038/nmeth.2289. PMID:23399932.