sgld (c47b1)
Self-Guided Langevin Dynamics (SGLD)
and
Self-Guided Molecular Dynamics (SGMD) Simulation Methods
By Xiongwu Wu and Bernard R. Brooks
SGMD/SGLD is a method to enhance conformational searching and sampling
through enhancing the low frequency motion. The main references for the
SGLD simulation method are:
(1) Wu, X., Brooks, B.R., "Self-guided Langevin dynamics simulation method", Chem. Phys. Letter, 381, 512-518(2003).
(2) Wu, X., Brooks, B.R., "Toward Canonical Ensemble Distribution from Self-guided Langevin dynamics simulation", J. Chem. Phys., 134, 134108 (2011).
(3) Wu, X., Brooks, B.R., "Force-momentum based self-guided Langevin dynamics: a rapid sampling method that approaches the canonical ensemble", J. Chem. Phys., 135, 204101 (2011)
(4) Wu, X., Damjanovic, A., Brooks, B.R., "Efficient and unbiased sampling of biomolecular systems in the canonical ensemble: a review of self-guided Langevin dynamics", Adv. Chem. Phys., Vol.150, 255-326 (2012)
(5) Wu, X., Hodoscek, M., Brooks, B.R., "Replica exchange of self-guided Langevin dynamics simulation", J. Chem. Phys., 137, 044106 (2012).
(6) Wu, X., Subramaniam,S., Case, D.A.,Wu,K., Brooks, B.R., "Targeted Conformational Search with Map-Restrained Self-Guided Langevin Dynamics: Application to Flexible Fitting of Electron microscopic density maps", J. Struct. Biol., 183, 429-440 (2013).
(7) Wu, X., Brooks, B.R., Vanden-Ejinden,E. "Self-Guided Langevin Dynamics via Generalized Langevin Equation", J. Comput. Chem., Accepted (2015).
* Syntax | Syntax of the SGLD dynamics command
* Background | Description of SGMD/SGLD methods
* Examples | SGLD usage examples
Top
[Syntax SGLD]
SCALar SGWT SET 0.0 ! clean guiding weight array: SGWT
SCALar SGWT SET 1.0 atom-selection ! select atoms to set guiding weights
! Using leap-frog integrator
DYNAmics {LEAP {[LANG SGLD]} } ! SGLD simulation
{ {[HOOVER|CPT] SGMD]} } ! SGMD for a NVT/NPT ensemble
{ {[ SGMD]} sg-spec} ! SGMD for a NVE ensemble
{ } other-dynamic-spec
! Using velocity-Verlet integrator
DYNAmics { VV2 {[SGLD]} } ! SGLD
{ {[SGMD]} sg-spec } ! SGMD
{ } other-specs
sg-spec::= {[SGFT real]}[TSGAVG real] other-sg-spec
{[TEMPSG real] }
other-sg-spec::= [SGFF real] [SGFD real]
[SGBZ] [TSGAVP real] [ISGSTA int] [ISGEND int]
Keyword Default Purpose
SGLD false Turn on SGLD simulation (for Langevin dynamics, LANG).
Friction constants, FBETA, must be set at first.
It is equivalent to SGMD for non-Langevin dynamics.
SGMD false Turn on SGMD simulation (for MD simulations).
It is equivalent to SGLD for Langevin dynamics.
SGFT 0.2(SGMD) Momentum guiding factor.
SGFF 0.0 Force guiding factor.
SGFD 0.0 SGLD-GLE momentum guiding factor. Only works when friction constants FBETA>0, i.e., SGLD.
TEMPSG 0 K Target self-guiding temperature. Used to set SGFF if SGFT is not set
TSGAVG 0.2 ps Local average time. A larger TSGAVG will result in slower
motion to be enhanced. All motions with periods larger than
TSGAVG will be enhanced.
SGBZ false Automatically set SGFT/SGFF to maintain a Boltzmann conformational.
distribution.
ISGSTA 1 The index of the first atom of the region to apply the
guiding force
ISGEND natom The index of the last atom of the region to apply the
guiding force. If reweighting is to be performed and ISGSTA>1 or
ISGEND<natom, one need turn on analysis with "anal on" before
running dynamics.
TSGAVP 10*TSGAVG Long average time. This time is used to calculate
running averages to estimate instaneous parameters like apparent friction constants.
SGWT {1.0} Self-guiding weight array for atoms. Using SCALAR to set SGWT.
SGWT can be used to set atom dependent guiding factors.
[Syntax SGLD]
SCALar SGWT SET 0.0 ! clean guiding weight array: SGWT
SCALar SGWT SET 1.0 atom-selection ! select atoms to set guiding weights
! Using leap-frog integrator
DYNAmics {LEAP {[LANG SGLD]} } ! SGLD simulation
{ {[HOOVER|CPT] SGMD]} } ! SGMD for a NVT/NPT ensemble
{ {[ SGMD]} sg-spec} ! SGMD for a NVE ensemble
{ } other-dynamic-spec
! Using velocity-Verlet integrator
DYNAmics { VV2 {[SGLD]} } ! SGLD
{ {[SGMD]} sg-spec } ! SGMD
{ } other-specs
sg-spec::= {[SGFT real]}[TSGAVG real] other-sg-spec
{[TEMPSG real] }
other-sg-spec::= [SGFF real] [SGFD real]
[SGBZ] [TSGAVP real] [ISGSTA int] [ISGEND int]
Keyword Default Purpose
SGLD false Turn on SGLD simulation (for Langevin dynamics, LANG).
Friction constants, FBETA, must be set at first.
It is equivalent to SGMD for non-Langevin dynamics.
SGMD false Turn on SGMD simulation (for MD simulations).
It is equivalent to SGLD for Langevin dynamics.
SGFT 0.2(SGMD) Momentum guiding factor.
SGFF 0.0 Force guiding factor.
SGFD 0.0 SGLD-GLE momentum guiding factor. Only works when friction constants FBETA>0, i.e., SGLD.
TEMPSG 0 K Target self-guiding temperature. Used to set SGFF if SGFT is not set
TSGAVG 0.2 ps Local average time. A larger TSGAVG will result in slower
motion to be enhanced. All motions with periods larger than
TSGAVG will be enhanced.
SGBZ false Automatically set SGFT/SGFF to maintain a Boltzmann conformational.
distribution.
ISGSTA 1 The index of the first atom of the region to apply the
guiding force
ISGEND natom The index of the last atom of the region to apply the
guiding force. If reweighting is to be performed and ISGSTA>1 or
ISGEND<natom, one need turn on analysis with "anal on" before
running dynamics.
TSGAVP 10*TSGAVG Long average time. This time is used to calculate
running averages to estimate instaneous parameters like apparent friction constants.
SGWT {1.0} Self-guiding weight array for atoms. Using SCALAR to set SGWT.
SGWT can be used to set atom dependent guiding factors.
Top
Backgrounds
SGMD/SGLD simulation enhances conformational search efficiency through
acceleration of low frequency motions in a molecular system. The low frequency
motion represents the slow conformational change that contributes the most
in conformational search. A guiding force resonant with the low freuqency
motion, which is calculated based on a local average of momentums and/or forces, is introduced
into the equation of motion to enhance the low frequency motion. It has been
demonstrated that within the suggested parameter range, a SGLD simulation
has a dramatically enhanced conformational search efficiency while has little
perturbation on conformational distribution.
Recently, based on the generalized Langevin equation, we developed the SGLD-GLE method
that restores the detailed-balance property of the dynamics. This
permits to sample the NVT and NPT ensembles exactly, without the reweighting needed
in SGLD. Compared with other sampling enhancement methods, SGLD-GLE has several unique characters. First, SGLD-GLE is size
extensive. The guiding force is calculated from momentum
and random forces, independent of system size. Reweighting is no longer needed which allows the method to be cast in a manner that is size extensive, making it a possible method of choice for million atom systems that may benefit from enhanced sampling. Second, the method can be applied to a part of a simulation system. In other words, the guiding factor can be defined for individual atoms, just like the friction con-
stant can be atom specific. Third, the motion mode to be
enhanced can be controlled by the local averaging time.
Because of these features, we expect that SGLD-GLE, like
SGLD, will be useful in a wide variety of contexts, such as phase transition, ligand docking, and protein folding. It is an excellent alternative to LD. SGFD is the guiding factor that activate SGLD-GLE.
Most recently a generalized self-guided simulation method, SGMDg/SGLDg, is developed, which has both momentum based and force based guiding forces and works equally well for both MD and LD. quantitative relations between guiding factors, SGFT and SGFF, with the conformational distribution.
To speed up SGMD/SGLD simulation, many previous optional input parameters are obsoleted. The obsoleted parameters are:
SGMDG
SGLDG
SGSTOPT
SGSTOPR
SGCOM
TREFLF
In CHARMM input script, only a key word, SGMD/SGLD, in a "DYNA ..."
simulation command line is needed to turn on SGMD/SGLD with default values
for all parameters. For LD or SGLD simulation, the friction constant, FBETA,
need be set. Whether to use SGMD or SGLD is automatically decided depending on
whether the friction constant is zero or not.
SGMD/SGLD has two primary input parameters, the guiding factors, SGFT,SGFF, and/or SGFD, and
the local average time, TSGAVG, which define the guiding effect in a SGMD/SGLD
simulation. SGFT/SGFF/SGFD set the strength of the guiding force and TSGAVG defines the
slow motion mode to be enhanced. A larger TSGAVG will result in a slower
motion (with period longer than TSGAVG) to be enhanced. A larger SGFT, a more negative SGFF, or a larger SGFD, will
introduce stronger guiding forces and result in a larger energy barrier
overcoming ability. When SGFT/SGFF/SGFD=0, a SGMD/SGLD simulation reduces to a normal
MD/LD simulation.
A scalar array SGWT can be used to define atomic specific guiding factors. the actual guiding factor of atom i will be SGFT*SGWT(I).
To avoid the difficulty in choosing the value of SGFT, a parameter
called guiding temperature (TEMPSG) is introduced. TEMPSG, as an alternate
to SGFT, specifies the conformational searching ability that is comparable to
a simulation at temperature TEMPSG. When TEMPSG=0, SGFT will be used to calculate
the guiding force. If TEMPSG>0, SGFT will be calculated from TEMPSG.
The Key word, SGBZ, will turn set balanced SGFF from SGFT or verse versa, so that the bias effects will cancel from each other and the simulation will sample the canonical ensemble. Otherwise, conformaton distribution need be reweighted to produce canonial ensemble properties.
The guiding range, ISGSTA and ISGEND, define the starting and ending atom indexes
to apply the guiding forces. By default, all atoms are included in the guiding range.
Within the range, the guiding weight array, SGWT, can be set with the SCALAR command.
The actual guiding factor is SGFT*SGWT(I) for atom I. By default, SGWT=1.
SGMD/SGLD can be used for replica exchange, abbreviated as RXSGLD, to obtain
accelerated conformational search while preserves the canonical ensemble. The guiding
effect, SGFT or TEMPSG, is used to define different replicas, with or without
temperature changes. Without temperature changes, RXSGLD can achieve very high
exchange efficiency and can be applied to much larger systems than temperature-based
replica exchange simulations. More details can be found in repdstr.info.
When SGMD or SGLD is turned on, DYNA simulation output will contain
a line with the following quantities:
DYNA SGMD> SGFT SGFF SGFD EPOTLF EPOTLLF SGEXP
These quantities are instaneouse values defined as below:
SGFT: Momentum guiding factor
SGFF: Force guiding factor
SGFD: SGLD-GLE momentum guiding factor.
EPOTLF: Local average potential energy.
EPOTLLF: Double local average potential energy.
SGEXP: Weighting exponent. exp(SGEXP) is the weighting factor of current frame.
The weight of a conformation is calculated by
Weight= exp(SGEXP)
=exp(((SGFF-SGFFT)*(EPOTLF-EPOTLLF)/(KBOLTZ*Temp))
The averages of above variables can be queried by the following
parameters:
?SGFT=SGFTI,?SGFF=SGFFI,?SGFD=SGFD,?TEMPSG=TEMPSG,?SGEXP=SGEXP,
?EPOTLF=EPOTLF,?EPOTLLF=EPOTLLF
In addition to the DYNA output, for each trajectory frame, there is a
SGMD/SGLD output marked by "TRAJ SGMD>" or "TRAJ SGLD>", which can be used for
post-processing ensemble distributions.
SGMD/SGLD simulation results can be weighted to produce canonical ensemble
properties. The weighting information can be extracted from simulation outputs.
A simple command line awk script is provided here to get a weighted average
from a SGMD/SGLD simulation:
%> awk 'BEGIN{n=0;if(N0==0)N0=1000;} \
{if($1=="DYNA>"){ep=$6;n++;} if(n<N0)next; \
if($1=="DYNA"&& ( $2=="SGMD>" ||$2=="SGLD>" )){wt=exp($8);aw+=wt;ae+=ep;aew+=wt*ep;m++;}} \
END{printf("Ep and weighted Ep: %10.4f %10.4f\n",ae/m,aew/aw);}' sgmd-sgld.out
The following awk script will print weighting factors for every frame in
a SGMD/SGLD trajectory:
%> awk '{if($1=="TRAJ"&& ( $2=="SGMD>" ||$2=="SGLD>" )){printf(" %10d %10.4f\n",++i,exp($8));}' sgmd-sgld.out
Run awk with above script can produce weighting factor for each frame in the trajectory file:
%> awk -f sgwt.awk sgmd-sgld.out
Backgrounds
SGMD/SGLD simulation enhances conformational search efficiency through
acceleration of low frequency motions in a molecular system. The low frequency
motion represents the slow conformational change that contributes the most
in conformational search. A guiding force resonant with the low freuqency
motion, which is calculated based on a local average of momentums and/or forces, is introduced
into the equation of motion to enhance the low frequency motion. It has been
demonstrated that within the suggested parameter range, a SGLD simulation
has a dramatically enhanced conformational search efficiency while has little
perturbation on conformational distribution.
Recently, based on the generalized Langevin equation, we developed the SGLD-GLE method
that restores the detailed-balance property of the dynamics. This
permits to sample the NVT and NPT ensembles exactly, without the reweighting needed
in SGLD. Compared with other sampling enhancement methods, SGLD-GLE has several unique characters. First, SGLD-GLE is size
extensive. The guiding force is calculated from momentum
and random forces, independent of system size. Reweighting is no longer needed which allows the method to be cast in a manner that is size extensive, making it a possible method of choice for million atom systems that may benefit from enhanced sampling. Second, the method can be applied to a part of a simulation system. In other words, the guiding factor can be defined for individual atoms, just like the friction con-
stant can be atom specific. Third, the motion mode to be
enhanced can be controlled by the local averaging time.
Because of these features, we expect that SGLD-GLE, like
SGLD, will be useful in a wide variety of contexts, such as phase transition, ligand docking, and protein folding. It is an excellent alternative to LD. SGFD is the guiding factor that activate SGLD-GLE.
Most recently a generalized self-guided simulation method, SGMDg/SGLDg, is developed, which has both momentum based and force based guiding forces and works equally well for both MD and LD. quantitative relations between guiding factors, SGFT and SGFF, with the conformational distribution.
To speed up SGMD/SGLD simulation, many previous optional input parameters are obsoleted. The obsoleted parameters are:
SGMDG
SGLDG
SGSTOPT
SGSTOPR
SGCOM
TREFLF
In CHARMM input script, only a key word, SGMD/SGLD, in a "DYNA ..."
simulation command line is needed to turn on SGMD/SGLD with default values
for all parameters. For LD or SGLD simulation, the friction constant, FBETA,
need be set. Whether to use SGMD or SGLD is automatically decided depending on
whether the friction constant is zero or not.
SGMD/SGLD has two primary input parameters, the guiding factors, SGFT,SGFF, and/or SGFD, and
the local average time, TSGAVG, which define the guiding effect in a SGMD/SGLD
simulation. SGFT/SGFF/SGFD set the strength of the guiding force and TSGAVG defines the
slow motion mode to be enhanced. A larger TSGAVG will result in a slower
motion (with period longer than TSGAVG) to be enhanced. A larger SGFT, a more negative SGFF, or a larger SGFD, will
introduce stronger guiding forces and result in a larger energy barrier
overcoming ability. When SGFT/SGFF/SGFD=0, a SGMD/SGLD simulation reduces to a normal
MD/LD simulation.
A scalar array SGWT can be used to define atomic specific guiding factors. the actual guiding factor of atom i will be SGFT*SGWT(I).
To avoid the difficulty in choosing the value of SGFT, a parameter
called guiding temperature (TEMPSG) is introduced. TEMPSG, as an alternate
to SGFT, specifies the conformational searching ability that is comparable to
a simulation at temperature TEMPSG. When TEMPSG=0, SGFT will be used to calculate
the guiding force. If TEMPSG>0, SGFT will be calculated from TEMPSG.
The Key word, SGBZ, will turn set balanced SGFF from SGFT or verse versa, so that the bias effects will cancel from each other and the simulation will sample the canonical ensemble. Otherwise, conformaton distribution need be reweighted to produce canonial ensemble properties.
The guiding range, ISGSTA and ISGEND, define the starting and ending atom indexes
to apply the guiding forces. By default, all atoms are included in the guiding range.
Within the range, the guiding weight array, SGWT, can be set with the SCALAR command.
The actual guiding factor is SGFT*SGWT(I) for atom I. By default, SGWT=1.
SGMD/SGLD can be used for replica exchange, abbreviated as RXSGLD, to obtain
accelerated conformational search while preserves the canonical ensemble. The guiding
effect, SGFT or TEMPSG, is used to define different replicas, with or without
temperature changes. Without temperature changes, RXSGLD can achieve very high
exchange efficiency and can be applied to much larger systems than temperature-based
replica exchange simulations. More details can be found in repdstr.info.
When SGMD or SGLD is turned on, DYNA simulation output will contain
a line with the following quantities:
DYNA SGMD> SGFT SGFF SGFD EPOTLF EPOTLLF SGEXP
These quantities are instaneouse values defined as below:
SGFT: Momentum guiding factor
SGFF: Force guiding factor
SGFD: SGLD-GLE momentum guiding factor.
EPOTLF: Local average potential energy.
EPOTLLF: Double local average potential energy.
SGEXP: Weighting exponent. exp(SGEXP) is the weighting factor of current frame.
The weight of a conformation is calculated by
Weight= exp(SGEXP)
=exp(((SGFF-SGFFT)*(EPOTLF-EPOTLLF)/(KBOLTZ*Temp))
The averages of above variables can be queried by the following
parameters:
?SGFT=SGFTI,?SGFF=SGFFI,?SGFD=SGFD,?TEMPSG=TEMPSG,?SGEXP=SGEXP,
?EPOTLF=EPOTLF,?EPOTLLF=EPOTLLF
In addition to the DYNA output, for each trajectory frame, there is a
SGMD/SGLD output marked by "TRAJ SGMD>" or "TRAJ SGLD>", which can be used for
post-processing ensemble distributions.
SGMD/SGLD simulation results can be weighted to produce canonical ensemble
properties. The weighting information can be extracted from simulation outputs.
A simple command line awk script is provided here to get a weighted average
from a SGMD/SGLD simulation:
%> awk 'BEGIN{n=0;if(N0==0)N0=1000;} \
{if($1=="DYNA>"){ep=$6;n++;} if(n<N0)next; \
if($1=="DYNA"&& ( $2=="SGMD>" ||$2=="SGLD>" )){wt=exp($8);aw+=wt;ae+=ep;aew+=wt*ep;m++;}} \
END{printf("Ep and weighted Ep: %10.4f %10.4f\n",ae/m,aew/aw);}' sgmd-sgld.out
The following awk script will print weighting factors for every frame in
a SGMD/SGLD trajectory:
%> awk '{if($1=="TRAJ"&& ( $2=="SGMD>" ||$2=="SGLD>" )){printf(" %10d %10.4f\n",++i,exp($8));}' sgmd-sgld.out
Run awk with above script can produce weighting factor for each frame in the trajectory file:
%> awk -f sgwt.awk sgmd-sgld.out
Top
Examples
1) SGMD simulation with a given force guiding factor.
! Perform SGMD simulation
DYNA LEAP STRT CPT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGMD SGFF -0.3 -
TCON TCOU 0.1 TREF 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
2) SGLD simulation with a given momentum guiding factor.
! Set friction forces
SCAL FBETA SET 1.0 SELE ALL END
! Perform SGLD simulation
DYNA LANG LEAP STRT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGLD SGFT 1.0 -
TBATH 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
3) SGLD-GLE simulation by setting SGFD
! Set friction forces
SCAL FBETA SET 1.0 SELE ALL END
! Perform SGLD simulation
DYNA LANG LEAP STRT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGLD TSGAVG 0.2 SGFD 1.0 -
TBATH 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
4) SGLD simulation with a guiding temperature of 500 K (to reach a searching ability comparable to
a 500 K high temperature simulation).
! Set friction forces
SCAL FBETA SET 1.0 SELE ALL END
! clean self-guiding weights.
SCAL SGWT SET 0.0 SELE ALL END
! apply guiding force to only segment 1
SCAL SGWT SET 1.0 SELE iseg 1 end
! Perform SGLD simulation
DYNA LANG LEAP STRT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGLD TSGAVG 0.2 TEMPSG 500 -
TBATH 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
5) SGMD simulation with both guiding factors
DYNA LEAP STRT CPT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGMD SGFT 1.0 SGFF -0.3 -
TCON TCOU 0.1 TREF 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
6> SGLD simulation with VV2 integrator to sample canonical ensemble
DYNA VV2 START NSTEP 10000 TIME 0.001 -
SGMD SGFT 1.0 SGBZ
Examples
1) SGMD simulation with a given force guiding factor.
! Perform SGMD simulation
DYNA LEAP STRT CPT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGMD SGFF -0.3 -
TCON TCOU 0.1 TREF 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
2) SGLD simulation with a given momentum guiding factor.
! Set friction forces
SCAL FBETA SET 1.0 SELE ALL END
! Perform SGLD simulation
DYNA LANG LEAP STRT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGLD SGFT 1.0 -
TBATH 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
3) SGLD-GLE simulation by setting SGFD
! Set friction forces
SCAL FBETA SET 1.0 SELE ALL END
! Perform SGLD simulation
DYNA LANG LEAP STRT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGLD TSGAVG 0.2 SGFD 1.0 -
TBATH 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
4) SGLD simulation with a guiding temperature of 500 K (to reach a searching ability comparable to
a 500 K high temperature simulation).
! Set friction forces
SCAL FBETA SET 1.0 SELE ALL END
! clean self-guiding weights.
SCAL SGWT SET 0.0 SELE ALL END
! apply guiding force to only segment 1
SCAL SGWT SET 1.0 SELE iseg 1 end
! Perform SGLD simulation
DYNA LANG LEAP STRT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGLD TSGAVG 0.2 TEMPSG 500 -
TBATH 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
5) SGMD simulation with both guiding factors
DYNA LEAP STRT CPT NSTE 1000000 TIME 0.002 -
IPRFRQ 10000 ISVFRQ 1000 IHTFRQ 0 IEQFRQ 0 INBFRQ 10 IHBFRQ 0 -
IUNREA -1 IUNWRI 31 IUNCRD 32 IUNVEL 33 KUNIT -1 -
NSAVC 1000 NSAVV 00 NPRINT 1000 ISEED 314159 -
SGMD SGFT 1.0 SGFF -0.3 -
TCON TCOU 0.1 TREF 300 FIRST 260 -
NBXMOD 5 ATOM CDIEL VATOM VDISTANCE EIPS VIPS PXYZ -
CUTNB 12.0 CTOFNB 10.0 EPS 1.0 E14FAC 1.0 WMIN 1.0
6> SGLD simulation with VV2 integrator to sample canonical ensemble
DYNA VV2 START NSTEP 10000 TIME 0.001 -
SGMD SGFT 1.0 SGBZ