Published June 22, 2022 | Version AmberTools and Amber16, 18 (https://ambermd.org), ORCA 4.2.1 (https://www.faccts.de/ )
Dataset Open

Intermolecular interactions in G protein-coupled receptor allosteric sites at the membrane interface from molecular dynamics simulations and quantum chemical calculations

Description

Allosteric modulators are called to be promising candidates in G protein-coupled receptor (GPCR) drug development by displaying target selectivity and fewer side effects. Among the allosteric sites known to date, extrahelical cavities represent an uncharacteristic binding location that raises many questions about the ligand interactions and stability; the binding site structure, and how all of these are affected by lipid molecules. In this work, we analyze the dynamics and interactions in the PAR2, C5aR1, and GCGR receptors unbound and bound to allosteric modulators at the receptor-lipid interface using molecular dynamics simulations in three lipid compositions. In addition, we performed quantum chemical calculations to further explore electrostatic interactions and the strength of atom pairwise contacts in the stabilization of the ligand-receptor complexes. We show that besides classical hydrogen bonds weak polar interactions such as O-HC, O-Br, and S-HC contacts and aromatic interactions contribute to the binding of allosteric modulators at the extrahelical sites in the middle of the membrane. The allosteric cavities are open and detectable in various membrane compositions but not always predicted as druggable.  The availability of polar atoms for interactions in such cavities can be assessed by water molecules from the simulations. Although ligand-lipid interactions are weak, the lipid tails play a role in sizing and shaping the large part of the allosteric cavity. 

You will find the following files:

  • Input files of the equilibration and production protocols of MD simulations (MD_simulations_inputs.zip)
  • Input files and coordinate files of F-SAPT and NCIPLOT calculations (quantum_chemical_coordiates_inputs.zip)

Notes

Submitted to ACS Journal of Chemical Information and Modelling

Files

MD_simulations_inputs.zip

Files (219.2 MB)

Name Size Download all
md5:0cfd7a55ed5ed4da4202c1513c9ac5c9
201.8 MB Preview Download
md5:126b4a8ea0c06586ae14346b61dcfe6b
17.4 MB Preview Download

Additional details

Funding

UK Research and Innovation
An in silico structure-based approach to map the druggable allosteric space of membrane receptors BB/R007101/1