Molecular dynamics
Protein molecular dynamics simulation
Prepare a protein, run conventional GROMACS molecular dynamics, and retain trajectories, energies, settings, and structural analyses.
Inputs
1 required
Methods
2 connected
- 01PDB Fixer
- 02GROMACS · Protein MD
Fetch or upload a protein structure, repair it with PDB Fixer, and run a conventional GROMACS protein simulation.
Use this templateWhat is protein molecular dynamics simulation?
Protein molecular dynamics simulation is a computer method that calculates how the atoms in a parameterized protein system move over time. It integrates equations of motion to generate a time-ordered trajectory that can test structural stability, flexibility, interactions, and conformational hypotheses, but the result reflects the chosen force field, solvent, protonation, boundaries, ensemble, starting state, and accessible timescale.
Begin with a structure whose biological assembly, chain boundaries, missing residues, ligands, cofactors, mutations, and protonation states match the question. Preparation choices can alter the trajectory more than later plotting choices, so inspect the simulation-ready model directly.
ProteinIQ can run conventional protein MD with GROMACS and return trajectory, energy, topology, final-structure, analysis, and archive files. Current runs cover 1–200 ns. Use independent replicates and convergence-aware analysis when the conclusion depends on an ensemble rather than a simple pipeline check.
When to use protein molecular dynamics simulation
- Best fit. Protein stability, flexibility, mutation effects, and conformational hypotheses
- Required evidence. A prepared protein structure, force-field choice, solvent and ion conditions, duration, and replicate plan
Benefits of protein molecular dynamics simulation
- Directly runnable online. Directly runnable online for projects focused on protein stability, flexibility, mutation effects, and conformational hypotheses.
- Returns simulation-native files. Returns simulation-native files for projects focused on protein stability, flexibility, mutation effects, and conformational hypotheses.
- Connects setup and analysis. Connects setup and analysis for projects focused on protein stability, flexibility, mutation effects, and conformational hypotheses.
Primary limitations
- Sampling remains finite. Sampling remains finite. Address this with a prepared protein structure, force-field choice, solvent and ion conditions, duration, and replicate plan.
- Force fields are approximations. Force fields are approximations. Address this with a prepared protein structure, force-field choice, solvent and ion conditions, duration, and replicate plan.
- Preparation choices affect outcomes. Preparation choices affect outcomes. Address this with a prepared protein structure, force-field choice, solvent and ion conditions, duration, and replicate plan.
Protein molecular dynamics simulation methods
GROMACS uses classical force fields to calculate bonded and nonbonded interactions, integrates motion at femtosecond-scale timesteps, and applies thermostat, barostat, electrostatics, and constraint settings defined by the run protocol.
A production trajectory should follow documented minimization and equilibration. Temperature and pressure traces alone do not establish structural equilibration; inspect slow observables and compare independent segments or replicas.
Protein molecular dynamics simulation applications
Protein molecular dynamics simulation is best suited to protein stability, flexibility, mutation effects, and conformational hypotheses. Match the modeled system, timescale, resolution, and ensemble to the observable rather than choosing a protocol because it produces a longer trajectory or more elaborate figure.
Use simulation as model-based evidence. Connect trajectory observations to experimental data, alternative parameterizations, independent starts, and uncertainty whenever the downstream claim concerns mechanism, affinity, kinetics, stability, or population.
How to run protein molecular dynamics simulation online
The connected workflow prepares the structure and runs the configured conventional simulation. Review every system and ensemble setting before submission.
- Inspect structure. Verify biological assembly, chains, missing regions, alternate locations, cofactors, and protonation-sensitive sites.
- Prepare system. Repair only justified defects and preserve both the original and prepared coordinates.
- Configure GROMACS. Set force field, solvent, temperature, pressure, ionic strength, duration, and output interval.
- Run simulation. Run minimization, equilibration, and production while retaining logs, energies, topology, and trajectory.
- Analyze ensemble. Review equilibration, stability, flexibility, contacts, convergence, and replicate agreement.
How to interpret protein molecular dynamics simulation results
Read RMSD with the alignment selection and reference, RMSF with residue coverage, radius of gyration with domain motion, and contact metrics with periodic-boundary treatment. Plateau language should be supported by blockwise behavior, not visual impression alone.
Separate observations from claims. A stable trajectory supports consistency with the modeled state over the sampled interval; it does not prove experimental stability, binding affinity, catalytic activity, or exhaustive sampling.
How protein molecular dynamics simulation works
Fetch or upload a protein structure, repair it with PDB Fixer, and run a conventional GROMACS protein simulation.
- Inspect structure. Verify biological assembly, chains, missing regions, alternate locations, cofactors, and protonation-sensitive sites.
- Prepare system. Repair only justified defects and preserve both the original and prepared coordinates.
- Configure GROMACS. Set force field, solvent, temperature, pressure, ionic strength, duration, and output interval.
- Run simulation. Run minimization, equilibration, and production while retaining logs, energies, topology, and trajectory.
- Analyze ensemble. Review equilibration, stability, flexibility, contacts, convergence, and replicate agreement.
Inputs and outputs
Check formats before running, then inspect and download the result from every workflow step.
Inputs
- Simulation evidence.
PDBmmCIFTPRGROXTCA protein PDB, ENT, or mmCIF structure with defined system conditions and simulation settings.
Outputs
- Simulation outputs.
XTCPDBCSVJSONZIPPDB, XTC, EDR, TPR, CSV analyses, logs, and a downloadable simulation archive.
Tools for protein molecular dynamics simulation
Use these methods to prepare inputs, run the core analysis, inspect outputs, and validate the evidence described in this workflow.
GROMACS
Run conventional protein molecular dynamics with classical force fields
PDBFixer
Repair missing atoms and standardize structures before simulation
MD Trajectory Analysis
Analyze compatible trajectories with structural and dynamical metrics
OpenMM
Run GPU-accelerated all-atom protein or protein–ligand simulations
PDB2PQR
Prepare protonation, charges, and radii for structural review
PROPKA 3
Estimate pKa values and inspect protonation-sensitive sites
RMSD calculator
Compare representative structures with RMSD
Radius of gyration
Measure compactness for representative structures
DSSP
Assign secondary structure to representative protein conformations
SASA calculator
Calculate solvent-accessible surface area for exported structures
MolProbity
Validate representative protein conformations
pyRMSD
Calculate pairwise RMSD matrices for exported structure ensembles
Other molecular dynamics workflows
Compare related approaches based on the molecular system, available evidence, required inputs, and decision you need to support.
Steered molecular dynamics
Applies a time-dependent pulling restraint to probe forced transitions, unbinding paths, or mechanical response.
Coarse-grained molecular dynamics
Groups atoms into interaction sites to access larger systems and longer effective timescales.
Replica exchange molecular dynamics
Runs interacting replicas at different temperatures or Hamiltonians and periodically attempts exchanges.
All-atom molecular dynamics
Represents individual atoms explicitly under an atomistic force field and integration scheme.
Enhanced sampling molecular dynamics
Uses biasing or generalized-ensemble methods to cross barriers that conventional trajectories rarely traverse.
Frequently asked questions
A protein PDB, ENT, or mmCIF structure with defined system conditions and simulation settings.
PDB, XTC, EDR, TPR, CSV analyses, logs, and a downloadable simulation archive.
Yes, for the conventional configuration described on this page. ProteinIQ runs the connected GROMACS or OpenMM workflow and returns the engine-native trajectory and result files. Advanced protocols still require separate method support.
There is no universal number. Use independent starts and enough sampling to evaluate the slow observables behind the claim. Report replicate-level results, blockwise stability, and uncertainty rather than pooling trajectories without checking agreement.
Retain original and prepared structures, force field, solvent, ions, protonation, ensemble controls, timestep, duration, output interval, logs, energies, topology, trajectory, and seeds.
A complete protein molecular dynamics simulation project is commonly quote-based because system preparation, parameterization, sampling length, replica count, analysis, and interpretation vary substantially. Current published examples span from $50 for a bounded 100 ns GROMACS simulation to a $5,000 minimum for a dedicated commercial molecular-dynamics engagement.
Those prices describe materially different deliverables, so compare the included preparation, validation, replicates, analysis, raw files, interpretation, and support—not only trajectory length. Membrane building, unusual residues or ligands, advanced sampling, and convergence assessment can dominate the real scope.
ProteinIQ self-service starts at $29 per month for academic Plus and $99 per month for commercial Pro, with the configured run estimated in credits before submission. Done-for-you molecular dynamics work is scoped separately when preparation, method design, external advanced sampling, or interpretation is required.
Start with a workflow you can inspect and edit
Add your inputs, review the settings, and keep every structure, score, table, and file connected to the step that produced it.