bioRxivBiophysicsPreprint
Transmembrane region dimer structures of Type 1 receptors readily sample alternate configurations: MD simulations using the Martini 3 coarse grained model compared to AlphaFold2 Multimer
Abstract
Determination of the structure and dynamics of transmembrane (TM) regions of single-transmembrane receptors is key to understanding their mechanism of signal transduction across the plasma membrane. Although many studies have been performed on isolated soluble extra- and intracellular receptor domains in aqueous solutions, limited knowledge exists on the lipid embedded TM domain. In this study, we examine the assembly of configurations of receptor TM region dimers using the Martini 3 force field for coarse-grain (CG) molecular dynamics simulations. This recently published version of Martini has new bead types and sizes, which allows more accurate predictions of molecular interactions compared to the previous versions. At first glance our results with Martini 3 simulations show only a reasonable agreement with ab initio predictions using PREDDIMER (for TM domains only), AlphaFold2 Multimer and with available NMR derived structures for TM helix dimers. Specifically, 6 of 11 CG TM structures are similar to the NMR structures (within < 3.5 [A] mainchain RMSD) compared to 10 of 11 and 9 of 11 using PREDDIMER and Alphafold, respectively (7 structures of the latter are within 1.5 [A]) Surprisingly, AlphaFold2 predictions are more comparable with NMR structures when the database of 2001 (mainly composed of soluble proteins) instead of 2020 PDB structures are used. While there are some differences in the conditions used, the CG simulations primarily reveal that alternate configurations of the TM dimers that are sampled, which readily interconvert with a predominant population. The implications of these findings for our understanding of the signalling mechanism of TM receptors are discussed, including opportunities for the development of new pharmaceuticals, some of which are peptide based.
- assay: structural biology
- research focus: protein structure prediction
- research focus: protein folding & dynamics
- approach: deep learning
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Impact of bilayer composition on the dimerization properties of the Slg1 stress sensor TMD from a multiscale analysis
F. Keller, A. Alavizargar, … A. Heuer·bioRxiv·Jul 27, 2022
- Spontaneous Dimerization and Distinct Packing Modes of Transmembrane Domains in Receptor Tyrosine Kinases
Lev Levintov, Biswajit Gorai, Harish Vashisth·BiochemistryPeer-reviewed·Sep 25, 2024
- AlphaFold2 transmembrane protein structure prediction shines
Tamás Hegedűs, Markus M. Geisler, … Bianka Farkas·bioRxiv·Aug 21, 2021
- Simulation of neurotrophin receptor transmembrane helix interactions reveals active states and distinct signaling mechanisms
Christina Athanasiou, Ainara Claveras Cabezudo, … Rebecca C. Wade·JACS AuPeer-reviewed·Apr 27, 2025
- Understanding the binding mechanisms of Alzheimer risk factor TREM2 in lipid bilayer using multi-scale molecular dynamics simulations
Z. Zhong, M. Ulmschneider, C. Lorenz·bioRxiv·Mar 8, 2024
- Molecular Determinants of Receptor-Specific Membrane Interactions in EphA1 and EphA2 from Coarse-Grained Simulations
Amita Rani Sahoo, Nisha Bhattarai, Matthias Buck·Journal of Chemical Information and ModelingPeer-reviewed·Aug 28, 2026