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Harnessing AlphaFold3 to elucidate BBSome structure and protein partners
Deng-Fu Guo1,2, Younes Rouabhi1, Mallory Tollefson3
1Department of Neuroscience and Pharmacology, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States.
The Bardet-Biedl syndrome (BBS) complex, crucial for ciliary function, was structurally modeled using AlphaFold3. This revealed key interactions and potential disease mechanisms, offering insights into BBS pathogenesis and ciliary trafficking.
Area of Science:
- Structural biology
- Molecular medicine
- Cell biology
Background:
- The BBSome is an eight-protein complex vital for ciliary function and implicated in Bardet-Biedl syndrome (BBS).
- While its structure and interactions are partially understood, its role in cargo recognition and complex dynamics requires further investigation.
Purpose of the Study:
- To elucidate the structural organization and dynamics of the BBSome complex.
- To identify BBSome interactions with G protein-coupled receptors (GPCRs) and metabolic signaling proteins.
- To investigate the impact of pathogenic mutations on BBSome stability.
Main Methods:
- Structural modeling using AlphaFold3, validated against cryo-EM data.
- Interface residue analysis to identify key interaction hubs within the BBSome.
- Computational prediction and experimental validation (immunoprecipitation, peptide competition assays) of BBSome-receptor interactions.
Main Results:
- AlphaFold3 generated a high-accuracy structural model of the BBSome.
- BBS1 and BBS9 were identified as central interaction hubs; BBS2 and BBS7 showed significant polar contacts.
- The BBS1M390R mutation was predicted to destabilize the complex.
- BBSome interactions with GPCRs and metabolic receptors (MRAP2, leptin, insulin receptors) were predicted and supported by experimental data.
- BBS4 interaction with pericentriolar material 1 suggests a role in centriolar satellite localization.
Conclusions:
- The study provides a detailed structural and interaction framework for the BBSome.
- Findings offer insights into BBS pathogenesis and the BBSome's role in ciliary trafficking and metabolic signaling.
- The predictive modeling approach serves as a valuable tool for future research into BBS and related ciliopathies.
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