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Structural bioinformatics analysis of variants on GPCR function.

Syed Askar Syed Haneef1, Shoba Ranganathan1

  • 1Department of Molecular Sciences, Faculty of Science and Engineering, Macquarie University, NSW 2109, Australia.

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This study computationally maps harmful genetic variations in the human cannabinoid receptor 1 (CB1). Identified mutations near key binding sites offer insights into CB1 function and potential drug responses.

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Area of Science:

  • Biochemistry
  • Pharmacogenomics
  • Neuroscience

Background:

  • G protein-coupled receptors (GPCRs) are crucial for cellular signaling.
  • Understanding natural genetic variants in GPCRs is vital for precision medicine and pharmacogenomics.
  • The human cannabinoid receptor 1 (CB1) is a key target in the central nervous system (CNS) with implications for disease and drug response.

Purpose of the Study:

  • To computationally identify and map deleterious non-synonymous single nucleotide polymorphisms (nsSNPs) in the human CB1 receptor.
  • To analyze the structural and functional impact of these CB1 mutations.

Main Methods:

  • Computational evaluation of nsSNPs to classify mutations as neutral or deleterious.
  • Mapping identified deleterious mutations to active and inactive CB1 X-ray crystallographic structures.
  • Molecular dynamics simulations to functionally characterize selected CB1 mutants.

Main Results:

  • Twelve deleterious nsSNPs were identified in CB1, located near the ligand or G-protein binding sites.
  • These mutations were mapped onto high-resolution CB1 structures.
  • Functional characterization of four mutants was performed using molecular dynamics simulations.

Conclusions:

  • Deleterious nsSNPs in CB1 are computationally identified and structurally mapped.
  • These variants may influence CB1 receptor function, ligand binding, and G-protein interaction.
  • Findings contribute to understanding CB1 variability in disease susceptibility and drug response.