Visualizing the impact of disease-associated mutations on G protein-nucleotide interactions
Anazia, K.; Koenekoop, L.; Ferre, G.; Petracco, E.; Gutierrez-de-Teran, H.; Eddy, M.
Show abstract
Activation of G proteins stimulates ubiquitous intracellular signaling cascades essential for life processes. Under normal physiological conditions, nucleotide exchange is initiated upon the formation of complexes between a G protein and G protein-coupled receptor (GPCR), which facilitates exchange of bound GDP for GTP, subsequently dissociating the trimeric G protein into its G and G{beta}{gamma} subunits. However, single point mutations in G circumvent nucleotide exchange regulated by GPCR-G protein interactions, leading to either loss-of-function or constitutive gain-of-function. Mutations in several G subtypes are closely linked to the development of multiple diseases, including several intractable cancers. We leveraged an integrative spectroscopic and computational approach to investigate the mechanisms by which seven of the most frequently observed clinically-relevant mutations in the subunit of the stimulatory G protein result in functional changes. Variable temperature circular dichroism (CD) spectroscopy showed a bimodal distribution of thermal melting temperatures across all GS variants. Modeling from molecular dynamics (MD) simulations established a correlation between observed thermal melting temperatures and structural changes caused by the mutations. Concurrently, saturation-transfer difference NMR (STD- NMR) highlighted variations in the interactions of GS variants with bound nucleotides. MD simulations indicated that changes in local interactions within the nucleotide-binding pocket did not consistently align with global structural changes. This collective evidence suggests a multifaceted energy landscape, wherein each mutation may introduce distinct perturbations to the nucleotide-binding site and protein-protein interaction sites. Consequently, it underscores the importance of tailoring therapeutic strategies to address the unique challenges posed by individual mutations.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Ligand Entry into Fatty Acid Binding Protein via Local Unfolding instead of Gap Widening 95%
- Oligomerization of the Human Adenosine A2A Receptor Is Driven by the Intrinsically Disordered C-Terminus 95%
- Structural and dynamic characterization of the C-terminal tail of ErbB2: disordered but not random 95%
Similar papers in this journal
- The nucleotide exchange factor, GrpE, modulates substrate affinity by interaction of its N-terminal tails with the DnaK substrate-binding domain. 95%
- Functional and structural characterization of allosteric activation of Phospholipase Cϵ by Rap1A 95%
- Structural characterization of HIV-1 matrix mutants implicated in envelope incorporation 95%
Similar papers in this journal
Similar papers in this journal
- Stability of ligand-induced protein conformation influences affinity in maltose-binding protein 94%
- Free energy perturbation calculations of mutation effects on SARS-CoV-2 RBD::ACE2 binding affinity 94%
- Protection of the prodomain 1-helix correlates with latency in the transforming growth factor- family 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.