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Comparative Study of NAMD and GROMACS

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Comparative Study of NAMD and GROMACS. Yanbin Wu, Joonho Lee and Yi Wang. Team Project for Phy466 ... Both are widely used MD packages. ... – PowerPoint PPT presentation

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Title: Comparative Study of NAMD and GROMACS


1
Comparative Study of NAMD and GROMACS
  • Yanbin Wu, Joonho Lee and Yi Wang
  • Team Project for Phy466
  • May 11, 2007

2
Outline
  • Motivation
  • Simulation Set-up
  • Procedure
  • Result and analysis
  • Conclusion

3
Motivation (1)
  • NAMD and GROMACS
  • GROMACS
  • developed in the Netherlands.
  • Fast, free.
  • NAMD
  • developed in Urbana, IL.
  • Parallel, fast for big systems, free.

4
Motivation (2)
  • Compare two packages
  • Both are widely used MD packages.
  • Different code implementation in the two packages
    may cause different results
  • Generally, one group mainly uses one package
  • Good chance to compare two packages !!!

5
Simulation Setup (1)
running parameter
Implementation
Simulation Package
RESULTS
model (topological)
force field
6
Simulation Setup (2)
  • Algorithm
  • Running parameter
  • Initial system
  • Size, composition
  • Coordinate, velocity
  • Force field
  • LJ parameter
  • Model
  • Charge, bonding, angle parameter
  • Code implementation
  • Black box

7
Procedure
  • Find a zero point
  • NVE
  • NVT
  • Compare different water models
  • TIP3P
  • SPCE
  • Compare different temperature control schemes
  • Langevin
  • Nose Hoover
  • Berendsen

8
Simulation system
  • The simplest system
  • Water
  • Solvent of life
  • Simple isotropic
  • Rich in experimental data
  • WaterIons
  • Ensembles
  • NVE
  • NVT
  • Langevin, Nose-hoover, Berendsen

9
Water Model SPCE
  • SPC/E rigid model (Berendsen et al., 1987)
  • q(h) 0.4238, q(O) - 0.8476
  • O-H distance 1 (Å)
  • H-O-H angle 109.47
  • LJ parameter
  • A 0.37122(kJ/mol)1/6.nm and B 0.3428
    (kJ/mol)1/12.nm

10
Water Model TIP3P
  • TIP3P flexible model (Mahoney and Jorgensen,
    2000)
  • q(h) 0.417, q(O) - 0.834
  • O-H distance 0.9572 (Å)
  • H-O-H angle 104.52
  • LJ parameter
  • 0.1521, 3.15061(Å)

11
Temperature control schemes
  • Langevin
  • Introduce a random force and friction coefficient
  • Nose-hoover
  • Introduce a thermal reservoir and a friction term
    in the eq. of motion
  • Berendsen
  • Weak coupling first-order kinetics to an external
    heath bath with a given temperature

12
Results and Analysis (1)
  • Zero point
  • NVE
  • 0.25 ns NVT to bring temperature up to 300K.
  • 1 ns NVE.
  • Important start with the same velocity and
    coordinate in both packages.
  • NVT
  • 1 ns NVT using Langevin dynamics temperature
    control, damping coefficient 5/ps.

13
NVE Zero Point
5.6 difference
14
NVT Zero Point
7.3 difference
15
Results and Analysis (2)
  • Different water models
  • 1 ns NVT using Langevin dynamics with ? 5/ps.
  • Two different water models SPCE and TIP3P.
  • Most commonly used water models.
  • SPCE and TIP3P water models exhibit similar
    dynamic properties in GROMACS.

0.032 difference
16
Results and Analysis (3)
  • Damping in Langevin Dynamics
  • 1 ns NVT via Langevin dynamics with ? 1, 5, 10
    /ps.
  • Damping affects the diffusion of water
    dramatically.
  • ?5/ps best reproduces the experimental result.

17
Results and Analysis (4)
  • Different temperature control schemes
  • 1 ns NVT using Langevin dynamics with ? 5/ps
  • 1 ns NVT using Nose-hoover thermostat with ?0.1
    ps
  • 1 ns NVT using Berendsen thermostat with ?0.1 ps
  • Different temperature control schemes can
    achieve similar results with well-chosen
    parameters.

18
Results and Analysis (5)
  • Water in the waterion system

19
Results and Analysis (5)
  • Na in the waterion system

20
Results and Analysis (5)
  • Cl- in the waterion system

21
Results and Analysis (5)
  • Radial distribution of oxygen - oxygen

22
Results and Analysis (5)
  • Radial distribution of oxygen Cl-

23
Results and Analysis (5)
  • Radial distribution of oxygen Na

24
Conclusion
  • The two packages GROMACS and NAMD produce similar
    results (within tolerance) using the same set of
    parameters.
  • Damping coefficient affects the dynamics
    significantly and has to be chosen with caution.
  • Different temperature control schemes may
    generate similar dynamic properties.
  • Two different water models, SPCE and TIP3P were
    compared and only minor difference was observed
    regarding the diffusion of water.

25
Discussion
  • Energy conservation in NVE simulations
  • Neighbor list update frequency
  • Switch or shift function is required, instead of
    cutoff
  • PME
  • Damping coefficient in NVT simulations
  • Balance temperature fluctuation and disturbance
    to the motion of the system.
  • Different temperature control schemes

26
Zero point (waterion, NVT)
27
Water Model (3)
28
NVE Zero Point
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