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Martin Kurečka
Plumed AlphaFold
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9a9a3ea3
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9a9a3ea3
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7 years ago
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Massimiliano Bonomi
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add Exercise 2
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user-doc/tutorials/a-trieste-4.txt
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@@ -27,6 +27,8 @@ The \tarball{trieste-4} for this project contains the following files:
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@@ -27,6 +27,8 @@ The \tarball{trieste-4} for this project contains the following files:
This tutorial has been tested on a pre-release version of version 2.4. However, it should not take advantage
This tutorial has been tested on a pre-release version of version 2.4. However, it should not take advantage
of 2.4-only features, thus should also work with version 2.3.
of 2.4-only features, thus should also work with version 2.3.
\note We suggest to run the three exercizes in separate directories
\section trieste-4-intro Introduction
\section trieste-4-intro Introduction
We have seen that PLUMED can be used to compute collective variables. However, PLUMED
We have seen that PLUMED can be used to compute collective variables. However, PLUMED
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@@ -128,7 +130,7 @@ phi: TORSION ATOMS=__FILL__
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@@ -128,7 +130,7 @@ phi: TORSION ATOMS=__FILL__
psi: TORSION ATOMS=__FILL__
psi: TORSION ATOMS=__FILL__
# Activate well-tempered metadynamics in phi
# Activate well-tempered metadynamics in phi
metad: __FILL__ ARG=
phi
...
metad: __FILL__ ARG=
__FILL__
...
# Deposit a Gaussian every 500 time steps, with initial height equal
# Deposit a Gaussian every 500 time steps, with initial height equal
# to 1.2 kJoule/mol, biasfactor equal to 10.0
# to 1.2 kJoule/mol, biasfactor equal to 10.0
PACE=500 HEIGHT=1.2 BIASFACTOR=10.0
PACE=500 HEIGHT=1.2 BIASFACTOR=10.0
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@@ -139,7 +141,7 @@ FILE=HILLS GRID_MIN=-pi GRID_MAX=pi
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@@ -139,7 +141,7 @@ FILE=HILLS GRID_MIN=-pi GRID_MAX=pi
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# Print the collective variables and the value of the bias potential on COLVAR file
# Print the collective variables and the value of the bias potential on COLVAR file
PRINT ARG=
phi,psi,
__FILL__ FILE=COLVAR STRIDE=10
PRINT ARG=__FILL__ FILE=COLVAR STRIDE=10
\endplumedfile
\endplumedfile
The syntax for the command \ref METAD is simple.
The syntax for the command \ref METAD is simple.
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@@ -256,11 +258,40 @@ suggest that the simulation is converged.
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@@ -256,11 +258,40 @@ suggest that the simulation is converged.
of your metadynamics simulation!
of your metadynamics simulation!
\note The two observations above are necessary, but qualitative conditions for convergence.
\note The two observations above are necessary, but qualitative conditions for convergence.
A quantitative a
nalysis
of convergence can be obtained by p
roper
error analysis of the
A quantitative a
ssessment
of convergence can be obtained by p
erforming an
error analysis of the
recontructed free
energy, as explained in the last exercize
recon
s
tructed free
-
energy
profile
, as explained in the last exercize
\section trieste-4-ex-2 Exercize 2: playing with collective variables
\section trieste-4-ex-2 Exercize 2: playing with collective variables
In this exercise, we will run a well-tempered metadynamics simulation on alanine dipeptide in vacuum, this time
using as CV the backbone dihedral \f$ \psi \f$.
Please complete the template `plumed.dat` file used in the previous exercise to run this calculation.
Once your `plumed.dat` file is complete, you can run a XX-ns long metadynamics simulations with the following command
\verbatim
> gmx mdrun -s topol.tpr -plumed plumed.dat
\endverbatim
As we did in the previous exercise, we can use COLVAR to visualize the behavior of the CV during the simulation.
Here we will plot at the same time the evolution of the metadynamics CV \f$ \psi \f$ and of the other dihedral \f$ \phi \f$.
\verbatim
gnuplot> p "COLVAR" u 1:2, "" u 1:3
\endverbatim
\anchor trieste-4-metad-psi-phi-fig
\image html munster-metad-psi-phi.png "Time evolution of the dihedrals phi and psi during a 10-ns long metadynamics simulation using psi as CV."
By inspecting Figure \ref trieste-4-metad-psi-phi-fig, we notice that something different happened compared to the previous exercise.
At first the behavior of \f$ \psi \f$ looks diffusive in the entire CV space. However, around t=1 ns, \f$ \psi \f$
seems trapped in a region of the CV space in which it was previously diffusing without problems.
The reason is that the non-biased CV \f$ \phi \f$ after a while has jumped into a different local minima.
Since \f$ \phi \f$ is not directly biased, one has to wait for this (slow) degree of freedom to
equilibrate before the free energy along \f$ \psi \f$ can converge.
Try to repeat the analysis done in the previous exercise, i.e. calculate the estimate of the free energy as a function of time,
first step to assess the convergence of this metadynamics simulation.
\section trieste-4-ex-3 Exercize 3: quantifying the error in free-energy reconstructions
\section trieste-4-ex-3 Exercize 3: quantifying the error in free-energy reconstructions
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