GRIP

GRIP predicts oligomerization interfaces of G protein-coupled receptors (GPCRs) to identify conserved surface regions that mediate homodimeric, heterodimeric, and higher-order GPCR complexes.

Key Features:

• Interface Prediction: Predicts GPCR oligomerization interfaces by identifying surface regions that mediate homodimers, heterodimers, and higher-order oligomers.
• Sequence and Structural Analysis: Combines sequence and structural information to detect conserved surfaces likely involved in oligomerization.
• Improved Structural Assumptions: Dispenses with approximating GPCRs as thick-tube-like conformations perpendicular to the membrane plane, enabling a broader range of structural predictions across GPCR subtypes.
• Template Recommendation (FUGUE): Integrates a FUGUE-based template recommendation service to suggest appropriate structural templates for prediction.
• Input Format: Accepts target sequences in FASTA format as input for interface prediction.

Scientific Applications:

• Mapping Oligomerization Interfaces: Provides predictions of GPCR interaction interfaces to guide mapping of protomer contact sites.
• Designing Interface-Targeting Experiments: Supports design of experiments to inhibit specific oligomer formations without disrupting individual protomers.
• Investigating Signaling Consequences: Facilitates studies of how different oligomeric states influence GPCR-mediated signal transduction and receptor biology.
• Structural Template Selection: Assists selection of structural templates for modeling GPCR oligomerization.

Methodology:

Uses sequence and structural data to identify conserved structural regions as putative oligomerization interfaces, integrates a FUGUE-based template recommendation service, abandons the thick-tube perpendicular-to-membrane structural approximation, and accepts target sequences in FASTA format.