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Thermostat

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The Thermostat is a device that regulates temperature within a controlled environment. It measures the temperature and automatically adjusts the heating or cooling system to maintain the desired temperature.

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132 protocols using thermostat

1

Atomistic Simulation of Zr-Cu Deposition on Si Substrate

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Figure 1 shows the initial deposition model used in this work. Each simulation box has periodic boundary conditions only in x and y directions. Si (1 0 0) with fixed bottom atoms was used as the substrate and the dimensions were (25 × 25 × 10) Å3. In the deposited process, two kind of deposited atoms were generated randomly. Both Zr and Cu atoms deposited from an initial position 5–7 Å above the deposition model.
For all simulations, the microcanonical ensemble (NVE) was employed with a Berendsen thermostat [34 (link)]. Berendsen thermostat can effectively dissipate the high energy coming from Zr-Cu atoms. The temperature of the simulation box was controlled to 300 K, which is similar to experimental temperature condition.
In these simulations, embedded atom method (EAM) many-body potential [35 (link)] was applied to describe the atomic interactions of the Zr-Cu systems. The interactions between Si and Si atoms were described by Tersoff empirical potential [36 (link)]. Lennard Jones potential with Lorenz Berthelot mixing rules [37 (link)] was employed for the atomic interactions between Si and Zr-Cu systems.
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2

Molecular Dynamics Simulation of Mixed Lipid Bilayers

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Simulated mixed lipid bilayers were generated using the CHARMM-GUI Membrane Builder [40 (link)]. The main simulation system for each model contained 256 lipids evenly distributed in two leaflets with neutralizing ions and was fully hydrated using TIP3P water. All atomistic molecular dynamics simulations were performed using GROMACS 2019.3 [41 (link)], with CHARMM36 (CGenFF) force field parameters [42 (link)]. The simulations were performed at a temperature of 298 K using a Berendsen thermostat with τp = 0.1 ps. Periodic boundary conditions and the particle-mesh Ewald algorithm [43 (link)] were used to account for long-range electrostatic effects. Bond lengths were constrained using the LINCS method. Coordinates were saved every 2 ps for subsequent analysis. Energy minimization was performed, followed by equilibration (position restraint for 50 ps) using NPT ensembles with a semi-isotropic coupling constant τP = 1.0 ps and compressibility = 4.5 × 10−5 bar−1. All MD simulations were conducted using five independent sets for systems in the presence and absence of PVC10 NPs.
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3

EGFR Protein Preparation and Simulation

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Each EGFR protein was prepared
using the Protein Preparation Wizard
of the Schrodinger Suite 201515 and subsequently
imported into molecular dynamics software as the starting structure.
For each EGFR crystal complex with several chains, one chain containing
an inhibitor had been retained. Each MD simulation was performed using
Desmond 4.2 with the standard RESPA integration and a 2 fs time step.
The TIP4P water model was employed for the generation of a solvent
system and would work well under the OPLS force field. Each simulation
system including the prepared protein, one substrate, and several
Cl– added to achieve charge neutrality was immersed in a cubic
box (10 Å). First, all the prepared systems were minimized until
a gradient threshold (25 kcal/mol/Å) was reached by the steepest-descent
(SD) method and then coupled to a Berenson thermostat with a 300 K
reference temperature and a Berendsen barostat with a 1.01325 bar
reference pressure. The calculation of long-range electrostatics was
based on the Particle mesh Ewald method. The cutoff for coulomb interaction
was set at 9.0 Å. After equilibration, all the systems began
to run in the NPT ensemble for 2.4 ns.
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4

Molecular Dynamics Simulation Protocol

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MD simulations were performed using the models generated by homology as the initial coordinates. Set up of the systems was performed with GROMACS 4.5 [85 (link)]. First, each system comprising in about 200,000 atoms was energetically relaxed in vacuum using the steepest descend combined with the conjugate gradient algorithm, then solvated in a TIP3P water box and neutralized by adding counter-ions (Cl-), resulting in 200 000 atoms systems. Each solvated system was relaxed by 30 000 steps of minimization using the conjugate gradient algorithm. In the first 10 000 steps of minimization, constraints were applied to the protein heavy (non-hydrogen) atoms. In the following 10 000 steps, each system was minimized with constraints applied on Cα atoms only while in the last 10 000 steps, no constraints were applied. After relaxation, each system was linearly heated from 10 to 310 K with constraints on Cα. An unconstrained MD simulation was then performed at constant volume (NVT) using a Berendsen thermostat [86 (link)] for 100 ps and for further 100 ps at constant pressure (1 bar) using the Parrinello-Rahman algorithm [87 (link)]. A last MD simulation at 310 K and 1 bar (NPT ensemble) were carried out for 5 ns to achieve the properly equilibrated models.
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5

Molecular Dynamics of β2-AR-Agonist Complex

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The β2-AR-agonist-NDP complex, with peptide coordinates obtained from the docking output, was inserted into a 70 × 70 Å 2-oleoyl-1-palmitoyl-sn-glyecro-3-phosphocholine (POPC) lipid bilayer. A 10 Å water layer was added from the positive side of the z-axis and 60 Å from the negative side. Bad-contact water molecules were removed from the lipid membrane bilayer using the appropriate tcl script. Additionally, the system was neutralized with 0.15 M NaCl, resulting in a 61,183 (~60,000) atom ensemble. The system was subject to a 10,000 step energy minimization, 250 NVE ps equilibration, and 100 ns NPT MD production. Pressure and temperature were set to 1 bar and 310 K, respectively, using a Berendsen thermostat, and the applied integration step was 1 fs. In all simulations, periodic boundary conditions with particle-mesh Ewald calculations were implemented. The cut-off was set to 12 Å. A CHARMM2222 (link),23 (link) force field was used for protein and lipids, and CGenFF43 (link),44 (link) was used for ligands.
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6

Simulated Mitochondrial Membrane Lipid Bilayer

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The lipid bilayer was composed of POPC, POPE and tetraoleoyl cardiolipin in a ratio of about 9:7:4, mimicking the average lipid composition of inner mitochondrial membranes from guinea pig liver, rat liver and pig heart [65 (link)]. An initial bilayer was constructed from 125 lipid molecules (56 POPC, 44 POPE, and 25 cardiolipins) by first placing lipids randomly in a simulation box, with six times as many coarse-grained water beads. Lipid bilayers then self-assembled during a simulation of 60 ns, with pressure coupled isotropically using a Berendsen barostat (coupling constant of 3 ps), and temperature with a Berendsen thermostat (coupling constant of 0.3 ps). The self-assembled bilayer was then simulated for a further 15 ns. A larger bilayer of 250 lipids was assembled by pasting together two of the smaller self-assembled bilayers. A second bilayer model was generated by simulating the first bilayer for a further 300 ns.
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7

Molecular Dynamics Simulations of Peptides

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The GROMACS software package [36 (link)] was used to perform MD simulations. The GROMOS force-field 43a2 [37 ] was used to describe the peptide and peptide–solvent interactions. The force-fields were parametrized for use with a group-based twin range cut-off scheme (using cutoffs of 1.0/1.4 nm and a pair-list update frequency of once per 10 steps), including the particle-mesh Ewald (PME) method. The water was modeled using the SPC model [38 (link)]. A time step of 2 fs was used. Bond lengths were constrained using the LINCS algorithm [39 (link)]. The simulations were performed in the NPT ensemble using periodic boundary conditions. The temperature was weakly coupled (coupling time 0.1 ps) to T = 298 K using the Berendsen thermostat [40 (link)]. The pressure was also weakly coupled (coupling time of 1.0 ps and compressibility of 4.5 × 10−5), using an isotropic coupling scheme at 1 bar. The DSSP protocol and the corresponding computer program [41 (link)] were employed to analyze the time evolution of the local secondary structure.
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8

Equilibrated Molecular Dynamics Simulations

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For each equilibrated system (models IV) two independent MD simulations were run with different initial velocities using the PMEMD module of AMBER 10. The temperature was kept at 310 K (Berendsen thermostat), and pressure at 1 bar (Langevin piston coupling algorithm). The SHAKE algorithm was used to freeze covalent bonds involving hydrogen atoms, allowing for an integration time step of 2.0 fs. Long-range electrostatic interactions were treated by the Particle Mesh Ewald method [54] . Each simulation run was continued until a total time of 50 ns to 70 ns, depending on the estimated convergence of the first 50 ns of simulation. Coordinates files were recorded every 1 ps.
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9

Molecular Dynamics Simulation of Biomolecules

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All non-bonded interactions were shifted to zero when the distance between beads was 12 Å. A timestep of 20 fs was used and the temperature was held at 310 K using a Berendsen thermostat with a time constant of 1 ps. The pressure was maintained at 1 bar by a Berendsen barostat, applied semi-isotropically, with a time constant of 1 ps and a compressibility of 3 × 10–4 bar.22 Coordinates of all molecules were written to disc every 2 ns.
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10

Molecular Dynamics Simulation of Cellulose Fibers

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The CHARMM36
force field was used to describe all systems.78 (link)−81 (link) The topologies for the nonaose
ligand and the cellodecaose fibers of the crystal were prepared with
the CHARMM GUI.82 (link) All simulations were run in GROMACS (2018.6).83 (link)−89 (link) Boxes with minimal edge distances of 1.4 nm were constructed and
solvated with TIP3P water (see the Supporting Information for structure preparation).90 (link) To neutralize the net charge of the system, random water
molecules were exchanged with ions. All minimization steps were done
in a steepest-descent over 10 000 iterations. A time step of
2 fs was used. The long-range electrostatics were treated with the
particle-mesh Ewald method with a cubic interpolation and a cutoff
of 12 Å.91 (link) Van der Waals interactions
were treated in a Verlet scheme with a cutoff distance of 12 Å
and a switching function for the forces starting at 10 Å.92 (link) Hydrogen bonds were restrained using the LINCS
algorithm.93 (link) The solutes and the solvent
were coupled to individual heat baths with a Berendsen thermostat.94 (link) Pressure coupling was done with a Parrinello–Rahman
barostat.95 (link) Analysis of the trajectories
was performed with GROMACS. The trajectories
were visualized in PyMOL (2.3.3).96
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