PLUMED-TUTORIALS

Browse the lessons

The graph below shows a subset of the lessons that have been submitted to the PLUMED-TUTORIALS website and suggests an order for working through them. PLUMED-TUTORIAL monitors whether PLUMED input files in these lessons are compatible with the current and development versions of the code and integrates links from these files to the PLUMED manual. Inputs in the tutorials listed below were last tested on .

You can return to a complete list of the tutorials by clicking here.

%%{init: {"flowchart": {"defaultRenderer": "elk"}} }%%
   
flowchart TD
0("VisMetaDynamics")
1("Metadynamics")
2("Permutationally Invariant
Networks for Enhanced Sampling
(PINES)")
3("Exploring Free Energy Surfaces
with MACE-PLUMED Metadynamics")
4("Parameterization of Path CVs
for drug-target binding")
5("PLUMED syntax and analysis")
6("Modelling mechanobiological
processes")
7("Mechanical pulling + FISST
module")
8("Using the maze module")
9("Transition-Tempered
Metadynamics")
10("Standard binding free energies
from cylindrical restraints")
11("Path integral metadynamics")
12("Volume-based Metadynamics")
13("SASA module - The solvent
accessible surface area of
proteins as a collective
variable, and the application
of PLUMED for implicit solvent
simulations")
14("Free energy calculations in
crystalline solids")
15("Rethinking Metadynamics using
the OPES method")
16("Analysis of PLUMED output by
Metadynminer")
17("Replica exchange methods")
18("Umbrella Sampling")
19("Statistical errors in MD")
20("Defining custom machine
learning CV with metatomic")
21("An introduction to CpH-
Metadynamics simulations")
22("ASE-PLUMED interface")
23("Multiple Walkers Metadynamics
Simulations with a Reactive
Machine Learning Interatomic
Potential")
24("A Bayesian approach to
integrate cryo-EM data into MD
simulations with PLUMED")
25("Using path collective
variables to find reaction
mechanisms in complex free
energy landscapes")
26("Modelling Concentration-driven
processes with PLUMED")
27("Machine learning collective
variables with PyTorch")
28("Optimizing PLUMED performances")
29("Installing PLUMED")
30("Refining AlphaFold models for
virtual screening")
31("Setting Up and Analyzing Bias-
Exchange Metadynamics
Simulations")
32("Enhanced sampling for
magnesium-RNA binding dynamics")
33("Alpha-Fold Metainference for
structural ensemble prediction
of a partially disordered
protein")
34("Hamiltonian replica exchange
with PLUMED and GROMACS")
35("EDS module and Coarse-Grained
directed simulations")
36("Dimensionality reduction")
subgraph g0 [ ]
0("VisMetaDynamics")
32("Enhanced sampling for
magnesium-RNA binding dynamics")
2("Permutationally Invariant
Networks for Enhanced Sampling
(PINES)")
3("Exploring Free Energy Surfaces
with MACE-PLUMED Metadynamics")
4("Parameterization of Path CVs
for drug-target binding")
9("Transition-Tempered
Metadynamics")
0~~~9;
10("Standard binding free energies
from cylindrical restraints")
32~~~10;
11("Path integral metadynamics")
2~~~11;
12("Volume-based Metadynamics")
3~~~12;
13("SASA module - The solvent
accessible surface area of
proteins as a collective
variable, and the application
of PLUMED for implicit solvent
simulations")
4~~~13;
15("Rethinking Metadynamics using
the OPES method")
9~~~15;
16("Analysis of PLUMED output by
Metadynminer")
10~~~16;
17("Replica exchange methods")
11~~~17;
20("Defining custom machine
learning CV with metatomic")
12~~~20;
21("An introduction to CpH-
Metadynamics simulations")
13~~~21;
23("Multiple Walkers Metadynamics
Simulations with a Reactive
Machine Learning Interatomic
Potential")
15~~~23;
end
1("Metadynamics")
1--> g0;
subgraph g7 [ ]
33("Alpha-Fold Metainference for
structural ensemble prediction
of a partially disordered
protein")
35("EDS module and Coarse-Grained
directed simulations")
36("Dimensionality reduction")
7("Mechanical pulling + FISST
module")
8("Using the maze module")
19("Statistical errors in MD")
33~~~19;
22("ASE-PLUMED interface")
35~~~22;
24("A Bayesian approach to
integrate cryo-EM data into MD
simulations with PLUMED")
36~~~24;
25("Using path collective
variables to find reaction
mechanisms in complex free
energy landscapes")
7~~~25;
26("Modelling Concentration-driven
processes with PLUMED")
8~~~26;
30("Refining AlphaFold models for
virtual screening")
19~~~30;
31("Setting Up and Analyzing Bias-
Exchange Metadynamics
Simulations")
22~~~31;
end
5("PLUMED syntax and analysis")
5--> g7;
6("Modelling mechanobiological
processes")
7-->6;
14("Free energy calculations in
crystalline solids")
15-->14;
15-->27;
17-->28;
17-->34;
18("Umbrella Sampling")
18-->1;
19-->18;
27("Machine learning collective
variables with PyTorch")
28("Optimizing PLUMED performances")
29("Installing PLUMED")
29-->5;
34("Hamiltonian replica exchange
with PLUMED and GROMACS")
click 0 "lessons/25/001/data/NAVIGATION.html" "A graphical tool that allows you to visually inspect how the free energy surface for a metadynamics simulation is affected by the choice of hyperparameters [Authors: Christian Phillips]"
click 1 "lessons/21/004/data/NAVIGATION.html" "How to calculate statistical averages and free energy surfaces using metadynamics [Authors: Max Bonomi]"
click 2 "lessons/24/013/data/NAVIGATION.html" "An introduction to using permutationally invariant networks for enhanced sampling [Authors: Nicholas S.M. Herringer, Aniruddha Seal, Armin Shayesteh Zadeh, Siva Dasetty, Andrew L. Ferguson]"
click 3 "lessons/24/012/data/NAVIGATION.html" "Performing metadynamics simulations with LAMMPS, MACE and PLUMED [Authors: S.G.H. Brookes, C. Schran, A. Michaelides]"
click 4 "lessons/24/011/data/NAVIGATION.html" "Using path CVs to study drug target binding with metadynamics [Authors: Mattia Bernetti and Matteo Masetti]"
click 5 "lessons/21/001/data/NAVIGATION.html" "Basic features of the PLUMED input syntax with a particular focus on PBCs and selection tools [Authors: Max Bonomi]"
click 6 "lessons/24/010/data/NAVIGATION.html" "A tutorial on modelling mechanobiological processes [Authors: Claire Pritchard, Guillaume Stirnemann and Glen Hocky]"
click 7 "lessons/22/015/data/NAVIGATION.html" "This tutorial explains how mechanical forces can be modeled using PLUMED and the FISST module [Authors: Guillaume Stirnemann and Glen Hocky]"
click 8 "lessons/24/008/data/NAVIGATION.html" "Sampling ligand-protein dissociation using the maze module [Authors: Jakub Rydzewski]"
click 9 "lessons/24/007/data/NAVIGATION.html" "An introduction to the transition tempered metadynamics method [Authors: Jiangbo Wu and Gregory A. Voth]"
click 10 "lessons/24/006/data/NAVIGATION.html" "Calculating standard binding free energies with metadynamics, PLUMED and OpenMM [Authors: Blake I Armstrong, Paolo Raiteri and Julian D Gale]"
click 11 "lessons/24/005/data/NAVIGATION.html" "Incorporating nuclear quantum effects in metadynamics simulations using path integrals [Authors: Guillaume Fraux and Michele Ceriotti]"
click 12 "lessons/24/004/data/NAVIGATION.html" "This tutorial teaches you how to run free energy calculations to investigate protein-ligand binding [Authors: Riccardo Capelli]"
click 13 "lessons/22/013/data/NAVIGATION.html" "An introduction to the SASA module and a description of how PLUMED can be used for implicit solvent simulations. [Authors: Andrea Arsiccio]"
click 14 "lessons/22/012/data/NAVIGATION.html" "An introduction to the Environmental similarity CV and the calculation of chemical potentials of liquids and solids [Authors: Pablo Piaggi]"
click 15 "lessons/22/003/data/NAVIGATION.html" "An introduction to the On-the-fly Probability Enhanced Sampling method [Authors: Michele Invernizzi]"
click 16 "lessons/22/002/data/NAVIGATION.html" "An introduction to the R package Metadynminer which can be used to analyse the output from metadynamics simulations [Authors: Vojtech Spiwok]"
click 17 "lessons/21/005/data/NAVIGATION.html" "Running umbrella sampling with replica exchange, bias exchange metadynamics and parallel tempering metadynamics [Authors: Giovanni Bussi]"
click 18 "lessons/21/003/data/NAVIGATION.html" "How to calculate statistical averages and free energy surfaces using umbrella sampling [Authors: Giovanni Bussi]"
click 19 "lessons/21/002/data/NAVIGATION.html" "How to calculate errors on averages calculated from unbiased and biased MD simulations using the method of block averages. [Authors: Gareth Tribello]"
click 20 "lessons/25/003/data/NAVIGATION.html" "An introduction to the use of interface between plumed and the metatomic library [Authors: Guillaume Fraux, Rohit Goswami and Michele Ceriotti]"
click 21 "lessons/24/020/data/NAVIGATION.html" "This tutorial aims to train users to perform CpH-Metadynamics simulations using the stochastic titration constant-pH Molecular Dynamics method and PLUMED. [Authors: Tomas Silva]"
click 22 "lessons/24/019/data/NAVIGATION.html" "Using PLUMED from ASE [Authors: Daniel Sucerquia, Pilar Cossio, Olga Lopez-Acevedo]"
click 23 "lessons/24/009/data/NAVIGATION.html" "Running metadynamics with a reactive, machine-learning interaction potential [Authors: Kam-Tung Chan and Davide Donadio]"
click 24 "lessons/22/017/data/NAVIGATION.html" "How to use PLUMED to perform single-structure and ensemble refinement using cryo-EM maps and EMMIVox. [Authors: Samuel Hoff and Max Bonomi]"
click 25 "lessons/22/009/data/NAVIGATION.html" "An introduction to using path collective variables for describing and simulating activated molecular processes [Authors: Bernd Ensing]"
click 26 "lessons/22/008/data/NAVIGATION.html" "An introduction to the tools that are available in PLUMED for simulating concentration-driven processes such as nucleation, growth and diffusion. [Authors: Matteo Salvalaglio]"
click 27 "lessons/22/005/data/NAVIGATION.html" "An introduction to designing data-driven CVs using two methods (DeepLDA and DeepTICA). [Authors: Luigi Bonati]"
click 28 "lessons/21/007/data/NAVIGATION.html" "Some lessons on monitoring and improving the performance of PLUMED and gromacs [Authors: Max Bonomi]"
click 29 "lessons/20/001/data/NAVIGATION.html" "An interactive tutorial resource on compiling PLUMED and linking it with MD codes. [Authors: Gareth Tribello]"
click 30 "lessons/25/002/data/NAVIGATION.html" "A tutorial to use bAIes to refine AlphaFold models for small-molecule virtual screening [Authors: Samiran Sen]"
click 31 "lessons/24/021/data/NAVIGATION.html" "This tutorial offers a comprehensive protocol, complemented by practical examples, for setting up and performing free energy analysis of bias-exchange metadynamics simulations of cis-trans isomerization in a proline-containing peptide. [Authors: Fabrizio Marinelli and Vanessa Ariadna Leone Alvarez]"
click 32 "lessons/24/017/data/NAVIGATION.html" "This tutorial will teach you how to use PLUMED, GROMACS and Python notebooks to implement an enhanced sampling strategy for magnesium-RNA binding dynamics. [Authors: Olivier Languin Cattoen]"
click 33 "lessons/24/014/data/NAVIGATION.html" "A tutorial about how metainference can be used in tandem with Alpha-fold to predict the ensemble of structures for a partially disordered protein. [Authors: Faidon Brotzakis, Hussein Murtada and Michele Vendruscolo]"
click 34 "lessons/22/010/data/NAVIGATION.html" "An introduction to running Hamiltonian replica exchange calculations using PLUMED and GROMACS. [Authors: Giovanni Bussi]"
click 35 "lessons/22/006/data/NAVIGATION.html" "This tutorials describes how to bias simulations to agree with experimental data using experiment directed simulation. [Authors: Glen Hocky and Andrew White]"
click 36 "lessons/21/006/data/NAVIGATION.html" "An introduction to techniques such as dimensionality reduction, path collective variables, and indistinguishability that you may need to use in your own research projects. [Authors: Gareth Tribello]"