Master ISDD tutorial 2024: Brief introduction to PLUMED

Aim

The aim of this tutorial is to introduce users to the PLUMED syntax. We will go through the preparation of input files to calculate and print simple collective variables on a pre-calculated trajectory. This tutorial has been prepared by Max Bonomi (adapting a lot of material from other tutorials and Masterclass) for the Master In Silico Drug Design, held at Université Paris Cité on April 8th, 2024.

Objectives

Once this tutorial is completed, users will be able to:

  • Write a simple PLUMED input file and use it with the PLUMED driver to analyze a trajectory.
  • Print collective variables such as distances (DISTANCE), torsional angles (TORSION), and gyration radius (GYRATION) using the PRINT action.
  • Use MOLINFO shortcuts.

Software

In this and in the next tutorial, we will use two pieces of software: PLUMED version 2.9.0 and GROMACS version 2020.7. First, we need to install the software on your machine using conda.

Installation

You should have all the software installed in a conda environment. To check this, you can type:

# activate environment
conda activate ISDD-tutorial-2024

If the environment is not found, you can prepare it yourself. First, you need to create the conda environment with:

# create environment
conda create --name ISDD-tutorial-2024

and activate it with:

# activate environment
conda activate ISDD-tutorial-2024

Finally, we can proceed with the installation of the required software:

conda install --strict-channel-priority -c plumed/label/isdd-2024 -c conda-forge plumed
conda install --strict-channel-priority -c plumed/label/isdd-2024 -c conda-forge gromacs
conda install -c conda-forge numpy

The --strict-channel-priority might be necessary in case your conda install is configured to download packages from the bioconda channel. Indeed, bioconda contains a version of GROMACS that is not patched with PLUMED and would thus not work here.

Please keep in mind that every time you open a new shell, in order to use PLUMED and GROMACS you need to activate the ISDD-tutorial-2024 environment using the following command:

conda activate ISDD-tutorial-2024

PLUMED overview

PLUMED is a library that can be incorporated into many MD codes by adding a relatively simple and well documented interface. Once it is incorporated you can use PLUMED to perform a variety of different analyses on-the-fly and to bias the sampling in MD simulations. Additionally, PLUMED can be used as a standalone code for analyzing trajectories. If you are using the code in this way you can run the PLUMED executable by issuing the command:

plumed <instructions>

Let's start by getting a feel for the range of calculations that PLUMED can do. Issue the following command now:

plumed --help 

The output of this command is a list of tasks that PLUMED can perform. Among these, there are commands that allow you to patch an MD code, postprocess metadynamics simulations, and build the manual. In this tutorial we will mostly use PLUMED to analyze trajectories. In order to do so, we will learn how to use the driver tool. Let's look at the options of PLUMED driver by issuing the following command:

plumed driver --help

As you can see we can do a number of things with PLUMED driver. For all of these options, however, we are going to need to write a PLUMED input file. The syntax of the PLUMED input file is the same that we will use later to run enhanced sampling simulations during a MD simulation, so all the things that you will learn now will be useful later when you will run PLUMED coupled to GROMACS.

GROMACS overview

GROMACS is a molecular dynamics package mainly designed for simulations of proteins, lipids, and nucleic acids. More info can be found here.

You can check that GROMACS is properly working by typing:

gmx_mpi mdrun -h

If you inspect the long output generated by this command, you will notice a -plumed option, which indicates that GROMACS has properly been compiled with PLUMED. Great, now you are ready to go!

Your first PLUMED input file

The main goal of PLUMED is to compute collective variables (or CVs), which are complex descriptors of the system that can be used to describe the conformational change of a protein or a chemical reaction. This can be done either on-the-fly during a molecular dynamics simulations or a posteriori on a pre-calculated trajectory using PLUMED as a post-processing tool. In both cases one, you should create an input file with a specific PLUMED syntax. Have a look at the sample input file below:

Click on the labels of the actions for more information on what each action computes
tested on v2.9
# Compute distance between atoms 1 and 10.
# Atoms are ordered as in the trajectory files and their numbering starts from 1.
# The distance is called "d" for future reference.
d: DISTANCE 
ATOMS
the pair of atom that we are calculating the distance between.
=1,10 # Compute the torsional angle between atoms 1, 10, 20, and 30. # The angle is called "phi1" for future reference. phi1: TORSION
ATOMS
the four atoms involved in the torsional angle
=1,10,20,30 # The same CV defined above can be split into multiple lines # The angle is called "phi2" for future reference. phi2: TORSION ...
ATOMS
the four atoms involved in the torsional angle
=1,10,20,30 ... # Print "d" on a file named "COLVAR1" every 10 steps. PRINT
ARG
the input for this action is the scalar output from one or more other actions.
=d
FILE
the name of the file on which to output these quantities
=COLVAR1
STRIDE
compulsory keyword ( default=1 ) the frequency with which the quantities of interest should be output
=10 # Print "phi1" and "phi2" on another file named "COLVAR2" every 100 steps. PRINT
ARG
the input for this action is the scalar output from one or more other actions.
=phi1,phi2
FILE
the name of the file on which to output these quantities
=COLVAR2
STRIDE
compulsory keyword ( default=1 ) the frequency with which the quantities of interest should be output
=100

In the input file above, each line defines a so-called action. In this simple example, actions are used to compute a distance, a dihedral angle, or print some values on a file. Each action supports a number of keywords, whose value is specified. Action names are highlighted in green and, by clicking on them, you can go to the corresponding page in the manual that contains a detailed description of each keyword. Actions that support the keyword STRIDE are those that determine how frequently things are done. Notice that the default value for STRIDE is always 1. In the example above, omitting STRIDE keywords the corresponding COLVAR files would have been written for every frame of the analyzed trajectory. All the other actions in the example above, i.e. DISTANCE and TORSION, do not support the STRIDE keyword and are only calculated when requested. That is, d will be computed every 10 frames, and phi1 and phi2 every 100 frames.

Variables should be given a name (in the example above, d, phi1, and phi2), which is then used to refer to these variables in subsequent actions, such as the PRINT command. A lists of atoms should be provided as comma separated numbers, with no space.

You can find more information on the PLUMED syntax at Getting Started page of the manual. The complete documentation for all the supported collective variables can be found at the Collective Variables page.

The PLUMED internal units

By default the PLUMED inputs and outputs quantities in the following units:

  • Length: nanometers
  • Energy: kJ/mol
  • Time: picoseconds
  • Mass: amu
  • Charge: e

If you want to change these units, you can do this using the UNITS keyword.

Resources

The TARBALL for this tutorial contains the following files:

  • GB1_native.pdb: a PDB file with the native structure of the GB1 protein.
  • traj-whole.xtc: a trajectory in xtc format. GB1 has already been made whole by fixing discontinuities due to periodic boundary conditions.
  • traj-broken.xtc: the same trajectory as it was originally produced by GROMACS. Here GB1 is broken by periodic boundary conditions.

After dowloading the compressed archive to your local machine, you can unpack it using the following command:

tar xvzf master-ISDD-1.tar.gz 

Once unpacked, all the files can be found in the master-ISDD-1 directory. To keep things clean, it is recommended to run each exercise in a separate sub-directory that you can create inside master-ISDD-1.

Note
This tutorial has been tested with PLUMED version 2.8.2.

Exercises

Exercise 1: Computing and printing simple collective variables

In this exercise, we will learn how to compute and print collective variables on a pre-calculated MD trajectory. To analyze the trajectories provided here, we will:

  • create a PLUMED input file with a text editor (typically called plumed.dat);
  • run the PLUMED driver utility.

Notice that you can also visualize trajectories with VMD (always a good idea!). For example, the trajectory traj-whole.xtc can be visualized with the command:

vmd GB1_native.pdb traj-whole.xtc

Let's now prepare a PLUMED input file to calculate:

  • the gyration radius of all CA protein atoms (GYRATION). Look in the GB1_native.pdb file to retrieve the list of indexes of the CA atoms;
  • the total number of contacts (COORDINATION) between all protein CA atoms. For COORDINATION, set reference distance R_0 to 8.0 Angstrom (be careful with units!).

Below you can find a sample plumed.dat file that you can use as a template. Whenever you see an highlighted FILL string, be careful because this is a string that you must replace.

Click on the labels of the actions for more information on what each action computes
tested on v2.9
# Compute gyration radius on CA atoms:
r: GYRATION 
ATOMS
the group of atoms that you are calculating the Gyration Tensor for.
=__FILL__ # Compute number of contacts between CA atoms co: COORDINATION
GROUPA
First list of atoms.
=__FILL__
R_0
could not find this keyword
=__FILL__ # Print the two collective variables on COLVAR file every step PRINT
ARG
the input for this action is the scalar output from one or more other actions.
=__FILL__
FILE
the name of the file on which to output these quantities
=COLVAR
STRIDE
compulsory keyword ( default=1 ) the frequency with which the quantities of interest should be output
=__FILL__

Once your plumed.dat file is complete, you can run the PLUMED driver as follows:

plumed driver --plumed plumed.dat --mf_xtc traj-broken.xtc

Scroll in your terminal to read the PLUMED log. As you can see, PLUMED gives a lot of feedback about the input that it is reading and the actions that it will execute. Please take your time to inspect the log file and check if PLUMED is actually doing what you intend to do.

The command above will create a COLVAR file like this one:

#! FIELDS time r co
 0.000000 2.458704 165.184127
 1.000000 2.341932 164.546604
 2.000000 2.404708 162.606975
 3.000000 2.454297 143.850122
 4.000000 2.569342 147.110408
 5.000000 2.304027 163.608703

Notice that the first line informs you about the content of each column.

In case you obtain different numbers, check your input, you might have made some mistake!

This file can then be visualized using gnuplot (for more info about this tool, look here):

gnuplot> p "COLVAR" u 1:2, "" u 1:3

Now, look at what happens if you run the exercise twice. The second time, PLUMED will back up the previously produced file so as not to overwrite it. You can also concatenate your files by using the action RESTART at the beginning of your input file.

Finally, let's try to use the same input file with traj-whole.xtc and examine the results. Did you find the same results as with the previous trajectory? Why?

Exercise 2: MOLINFO shortcuts

PLUMED provides some shortcuts to select atoms with specific properties. To use this feature, you should specify the MOLINFO action along with a reference PDB file. This command is used to provide information on the molecules that are present in your system.

Let's try to use this functionality to calculate the backbone dihedral angle \( \phi \) (phi) of residue 2 of the GB1 protein. This CV is defined by the action TORSION and a set of 4 atoms. For residue i, the dihedral \( \phi \) is defined by these atoms: C(i-1),N(i),CA(i),C(i) (see Fig. master-ISDD-1-dih-fig).

Definition of backbone dihedral angles.

After consulting the manual and inspecting GB1_native.pdb, let's define the dihedral angle \( \phi \) of residue 2 in two different ways:

  1. specifying an explicit list of 4 atoms (t1).
  2. using the MOLINFO shortcut (t2);
Click on the labels of the actions for more information on what each action computes
tested on v2.9
# Activate MOLINFO functionalities
MOLINFO 
STRUCTURE
compulsory keyword a file in pdb format containing a reference structure.
=__FILL__ # Define the dihedral phi of residue 2 as an explicit list of 4 atoms t1: TORSION
ATOMS
the four atoms involved in the torsional angle
=__FILL__ # Define the same dihedral using MOLINFO shortcuts t2: TORSION
ATOMS
the four atoms involved in the torsional angle
=__FILL__ # Print the two collective variables on COLVAR file every 10 steps PRINT
ARG
the input for this action is the scalar output from one or more other actions.
=__FILL__
FILE
the name of the file on which to output these quantities
=COLVAR
STRIDE
compulsory keyword ( default=1 ) the frequency with which the quantities of interest should be output
=__FILL__

After completing the PLUMED input file above, let's use it to analyze the trajectory traj-whole.xtc using the driver tool:

plumed driver --plumed plumed.dat --mf_xtc traj-whole.xtc

You can use gnuplot to visualize the trajectory of the two CVs calculated with the PLUMED input file above and written in the COLVAR file. Are the two trajectories identical?

Conclusions

In summary, in this tutorial you should have learned how to use PLUMED to:

  • Analyze previously calculated trajectories using the driver utility.
  • Define MOLINFO shortcuts.