Abstract | Multiscale molecular dynamics simulations of the UraA symporter in phospholipid bilayers consisting of: 1) 1-palmitoyl 2—oIeoyl-phosphatidylcholine (POPC); 2) 1-palmitoyl 2—oleoyI-phosphatidylethanolamine (POPE); and 3) a mixture of 75% POPE, 20% 1-palmi-toyl 2—oleoyl-phosphatidylglycerol (POPG); and 5% 1-palmitoyl 2—oleoyI-diphosphatidylgly-cerol/cardiolipin (CL) to mimic the lipid composition of the bacterial inner membrane, were performed using the MARTINI coarse-grained force field to self-assemble lipids around the crystal structure of this membrane transport protein, followed by atomistic simulations. |
Atomistic molecular dynamics simulations | Atomistic molecular dynamics simulations |
Atomistic molecular dynamics simulations | Atomistic molecular dynamics (AT-MD) simulations were performed using the GROMOS96 53a6 force field that has been widely used in simulation studies of membrane proteins. |
Coarse-grained molecular dynamics simulations | Coarse-grained molecular dynamics simulations |
Coarse-grained molecular dynamics simulations | Coarse-grained molecular dynamics (CG-MD) simulations were performed using the MARTINI force field [22]. |
Introduction | Molecular dynamics (MD) simulations of membrane proteins in increasingly complex lipid bilayers [3] can now be applied with confidence to build dynamic models of membrane proteins in a native milieu [4,5]. |
Membrane proteins in lipid bilayers | Molecular dynamics simulations provide a powerful tool to analyze the structure and dynamics of membrane proteins in lipid bilayers of defined composition [4]. |
Membrane proteins in lipid bilayers | A molecular dynamics simulation of LacY, in various lipids identified specific interactions between the lipid head-groups and sites on the protein [70]. |
Protein structure selection, search parameters and Cys environment characterization | Molecular Dynamics Simulations (MD). |
Protein structure selection, search parameters and Cys environment characterization | Constant pH molecular dynamics (CpHMD). |
Protein structure selection, search parameters and Cys environment characterization | For constant pH molecular dynamics , unless explicitly stated, simulation parameters were the same as detailed above. |
QM/MM methods | Determination of the reaction free energy profile using QM(DFTB)/MM and Multiple steered molecular dynamics (MSMD) strategy. |
QM/MM methods | The brackets in equation (1) represent an average taken over an ensemble of molecular dynamics trajectories provided the initial ensemble is equilibrated. |
QM/MM methods | In order to perform each trajectory, equilibrated snapshots were taken from classical Molecular Dynamics simulations of the reactant state and used as starting point for the QM/MM steering simulations. |
Supporting Information | psi Density function for a Cys-SOH containing peptide from molecular dynamics |
Abstract | In an attempt to guide experimental assessment of the identity of the minimal signaling unit for CBS, we conducted extensive coarse-grained (CG) molecular dynamics (MD) simulations of different combinations of the three major OR subtypes, i.e., u-OR, 6-OR, and K-OR, in an explicit lipid bilayer. |
Author Summary | The inferences provided by the extensive molecular dynamics simulations reported herein constitute a first step in this direction. |
Introduction | Here, we carried out extensive, unbiased coarse-grained (CG) molecular dynamics (MD) simulations of freely diffusing ORs in an explicit lipid-water environment to evaluate differences and similarities in the supramolecular organization and preferred dimeric interfaces of all three major receptor subtypes. |
Molecular Dynamics Simulations | Molecular Dynamics Simulations |
Supporting Information | Summary of all the molecular dynamics simulations of coarse-grained representations of opioid receptors reported in this manuscript. |
Abstract | Here, we examine the structural environment of the PC190723 binding pocket using Pock-etFEATURE, a statistical method that scores the similarity between pairs of small-molecule binding sites based on 3D structure information about the local microenvironment, and molecular dynamics (MD) simulations. |
Author Summary | Here, we evaluate the PC190723 binding site with currently available crystallographic structures of FtsZ using the structural comparison algorithm PocketFEATURE and all-atom molecular dynamics simulations. |
Introduction | All-atom molecular dynamics (MD) simulations predicted that force generation may result from a dramatic bending in GDP-bound filaments induced by nucleotide hydrolysis [10]; this conformational change was later confirmed by X-ray crystallography [6]. |