Predicting Transmembrane (TM) Domain Dimer Structures using Martini 3

Abstract

AbstractDetermination of the structure and dynamics of transmembrane (TM) domains 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 region. In this study, we predict the assembly of alternate configurations of receptor TM domain dimers using the Martini 3 force field for coarse-grain (CG) molecular dynamic simulations. This recent version of Martini has new bead types and sizes, which allows more accurate predictions of molecular packing and interactions compared to the previous version. Our results with Martini 3 simulations show overall good agreement with ab initio predictions using PREDDIMER and with available NMR derived structures for TM helix dimers. Understanding and predicting the association TM domains may help us to better understand the signalling mechanism of TM receptors, in turn providing the opportunity for development of new pharmaceuticals, some of which are peptide based.