[gmx-users] problem during Energy minimization
Parul tew
parultew at gmail.com
Sat May 21 12:49:25 CEST 2011
Dear GMX users,
I am facing problem while doing energy minimization before the molecular
dynamic simulation step of a system consisting of protein, membrane, water
and 14 ions.
The minim.mdp file is as follows
-------------------------------------------------------------------------------------------------------------
; minim.mdp - used as input into grompp to generate em.tpr
; Parameters describing what to do, when to stop and what to save
integrator = steep ; Algorithm (steep = steepest descent
minimization)
emtol = 1000.0 ; Stop minimization when the maximum
force < 1000.0 kJ/mol/nm
emstep = 0.01 ; Energy step size
nsteps = 50000 ; Maximum number of
(minimization) steps to perform
; Parameters describing how to find the neighbors of each atom and how to
calculate the interactions
nstlist = 1 ; Frequency to update the
neighbor list and long range forces
ns_type = grid ; Method to determine neighbor list
(simple, grid)
rlist = 1.2 ; Cut-off for making
neighbor list (short range forces)
coulombtype = PME ; Treatment of long range electrostatic
interactions
rcoulomb = 1.2 ; Short-range electrostatic cut-off
rvdw = 1.2 ; Short-range Van der Waals cut-off
pbc = xyz ; Periodic Boundary Conditions
*
---------------------------------------------------------------------------------------------------------
*
when I run this using the command
* *
*grompp –f minim.mdp –c system_sol_ions.gro -p topol.top –o em.tpr *
then I invoked mdrun which gave following error
--------------------------------------------------------------------------------------------------------
Reading file topol.tpr, VERSION 4.0.7 (single precision)
Loaded with Money
Steepest Descents:
Tolerance (Fmax) = 1.00000e+03
Number of steps = 50000
Step= 14, Dmax= 1.2e-06 nm, Epot= 3.03531e+22 Fmax= inf, atom=
1417
Stepsize too small, or no change in energy.
Converged to machine precision,
but not to the requested precision Fmax < 1000
Double precision normally gives you higher accuracy.
You might need to increase your constraint accuracy, or turn
off constraints alltogether (set constraints = none in mdp file)
writing lowest energy coordinates.
Steepest Descents converged to machine precision in 15 steps,
but did not reach the requested Fmax < 1000.
Potential Energy = 3.0353124e+22
Maximum force = inf on atom 1417
Norm of force = inf
-----------------------------------------------------------------
After this I changed the
emstep = 0.1 ; Energy step size
nsteps = 5000 ; Maximum number of (minimization) steps to perform
constraints = none
After these changes the no of steps increased to 18 but still the system did
not converge and potential energy is very high
----------------------------------------------------------------------------------------------------------
Reading file em.tpr, VERSION 4.0.7 (single precision)
Loaded with Money
Steepest Descents:
Tolerance (Fmax) = 1.00000e+03
Number of steps = 5000
Step= 17, Dmax= 1.5e-06 nm, Epot= 3.03531e+22 Fmax= inf, atom=
1417
Stepsize too small, or no change in energy.
Converged to machine precision,
but not to the requested precision Fmax < 1000
Double precision normally gives you higher accuracy.
You might need to increase your constraint accuracy, or turn
off constraints alltogether (set constraints = none in mdp file)
writing lowest energy coordinates.
Steepest Descents converged to machine precision in 18 steps,
but did not reach the requested Fmax < 1000.
Potential Energy = 3.0353124e+22
Maximum force = inf on atom 1417
Norm of force = inf
----------------------------------------------------------------------------------------------------------------
What changes can I do in my minim.mdp file to converge my system and get a
negative value of Epot.
The topol.top file looks
--------------------------------------------------------------------------------------------------
[ system ]
; Name
protein
128-Lipid DPPC Bilayer
[ molecules ]
; Compound #mols
Protein_A 1
DPPC 121
SOL 11107
CL- 14
-----------------------------------------------------------------------------------------------------
Thanks,
Parul
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