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    Molecular Dynamics

    with GROMACS 4.5.5Simulation of Lysozyme Protein in Water

    Work made by:

    Filipe Silva pg 18990

    Ricardo Oliveira pg 19002

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    Main goals

    Generate and analyze the topology of Lysozyme;

    Define simulation box and solvate;

    Add ions to nullify the system charge;

    Energy Minimization of the solvated system;

    Equilibration: With NVT and NPT;

    Production Molecular Dynamics Simulation;

    Results analysis;

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    Generate and analyze the topology

    of LysozymeLysozyme (1AKI) from Protein Data-

    Bank

    Processed lysozyme (without water

    residues)

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    Generate and analyze the topology

    of LysozymeExecute:

    pdb2gmx to obtain a structure and a topology file;

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    Define simulation box and solvate

    Lysozyme in a cubic box Lysozyme in a rhombicdodecahedron box

    editconf to define dimentions and the box type (cubic or rhombic

    dodecahedron in this case);

    genbox to fill the previously generated box with HOH (solvent);

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    Add ions to nullify the system charge

    Grompp to generate the input file .tpr for genion;

    Genion to add CL ions to counter change of the system;

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    Energy Minimization of the solvated

    system grompp to generate a .tpr file to run an energy minimization

    simulation;

    qsub to submit a script file like this:

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    Energy Minimization of the solvated

    system

    Energy Minimization

    cubic box

    Energy Minimization

    rdodecahedron

    Time (ps)Time (ps)

    Epot.(KJmol-1)

    Epot.(KJmol-1

    )

    g_energy to visualize Potencial Energy (KJ/mol) vs Time (ps).

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    Equilibration: With NVT and NPT

    Equilibration is conducted in two phases

    First phase is conducted under an NVT ensemble for over 100 ps at

    (constant Number of particles, Volume, and Temperature)

    Grompp will generate .trp file for mdrun to equilibrate the temp

    of the system

    g_energy will create a file that can be visualized in gnuplot.

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    Equilibration: With NVT and NPT

    Temperature Equilibration

    cubic box

    Temperature Equilibration

    rdodecahedron

    Time (ps) Time (ps)

    Temper

    ature

    (K)

    Temper

    ature

    (K)

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    Equilibration: With NVT and NPT

    Secund phase is conducted under and NPT ensemble at (constant

    Number of particles, Pressure, and Temperature)

    Grompp will generate .trp file for mdrun to equilibrate the

    pressure of the system

    g_energy will create a file that can be visualized in gnuplot

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    Equilibration: With NVT and NPT

    Pressure Equilibration

    cubic box

    Pressure Equilibration

    rdodecahedron

    Time (ps) Time (ps)

    Pressure

    (bar)

    Pressure

    (bar)

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    Equilibration: With NVT and NPT

    Density Equilibration

    cubic box

    Density Equilibration

    rdodecahedron

    Time (ps) Time (ps)

    Dens

    ity(kgm-3)

    Density(kgm-3)

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    Production Molecular Dynamics

    Simulation grompp - to generate a .tpr for mdrun.

    qsub submited a script file: -This Molecular Dinamic simulated 1 ns;

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    After protein simutation, our results must be analised:

    trjconv, is used for processing the coordinates

    g_rms, for generate .xvga and analyses on is correctedtrajectory

    Analyse the root-mean-square deviation (nm) vs Time

    (1ns), for the crystal struture and crystal reference;

    g_gyrate, to analyse radius of gyration of the protein

    Visualize all data and

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    3 of 3 Steps

    RSMD

    Crystal struture

    cubic box

    RSMD

    Crystal struture

    rdodecahedron

    Time (ns) Time (ns)

    RSM

    D(nm)

    RS

    MD

    (nm)

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    3 of 3 Steps

    RSMD

    Crystal reference

    cubic box

    RSMD

    Crystal reference

    rdodecahedron

    Time (ns)

    Time (ns)

    RSMD

    (nm)

    RSM

    D

    (nm)

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    3 of 3 Steps

    Radius of gyration

    Cubic box

    Radius of gyration

    rdodecahedron

    Time (ps)Time (ps)

    Rg

    (nm)

    RSM

    D

    (nm)

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    conclusions

    Rhombic dodecahedron box is more appropriate for

    this type of sistems, because it reduces the number of

    solvent molecules to simulate;

    Simulation time is lower with the use of more numberof cores;

    To visualize 1ns off the interactions betwen

    Time is spent with comunication betwen nodes;

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    Thank you for yourattention !!!