Coarse-grained molecular dynamics
Review compatible coarse-grained trajectories without treating bead-level dynamics as atomistic detail.
More molecular dynamics simulation workflows
Tools for coarse-grained molecular dynamics
Use these methods to prepare inputs, run the core analysis, inspect outputs, and validate the evidence described in this workflow.
MD Trajectory Analysis
Analyze compatible trajectories with structural and dynamical metrics
Radius of gyration
Measure compactness for representative structures
pyRMSD
Calculate pairwise RMSD matrices for exported structure ensembles
RMSD calculator
Compare representative structures with RMSD
SASA calculator
Calculate solvent-accessible surface area for exported structures
GROMACS
Run conventional protein molecular dynamics with classical force fields
OpenMM
Run GPU-accelerated all-atom protein or protein–ligand simulations
PDBFixer
Repair missing atoms and standardize structures before simulation
MolProbity
Validate representative protein conformations
DSSP
Assign secondary structure to representative protein conformations
PDB2PQR
Prepare protonation, charges, and radii for structural review
PROPKA 3
Estimate pKa values and inspect protonation-sensitive sites
What is coarse-grained molecular dynamics?
Coarse-grained molecular dynamics is a simulation method that represents groups of atoms as simplified interaction sites. This reduces the number of degrees of freedom and smooths the energy landscape, making larger assemblies and longer effective timescales accessible, but the mapping, parameterization, solvent model, and altered kinetics determine which conclusions remain defensible.
Use coarse graining when the scientific scale is the main obstacle: membrane remodeling, oligomerization, large complexes, phase separation, or broad conformational organization. Select a force field developed for the molecular classes involved and document every custom bead or bonded parameter.
ProteinIQ does not currently build or simulate a coarse-grained system. Its trajectory-analysis workflow can review compatible topology and trajectory files with explicit bead selections. Protein-specific defaults such as Cα selections, hydrogen bonds, or atomistic secondary structure may not apply and must be replaced with model-appropriate metrics.
When to use coarse-grained molecular dynamics
- Large assemblies, membranes, phase behavior, and longer effective sampling
- Externally generated mapped topology, compatible trajectory, parameter set, and bead-level selections
Strengths and limitations
Bead representations make larger assemblies and longer effective sampling practical, particularly for membranes and collective organization. Multiple mappings can test whether a qualitative pattern survives the chosen level of detail.
Mapping removes atom-level contacts, and coarse-grained time does not automatically equal physical time. Force-field transferability varies across systems; retain the mapped topology and parameterization and validate important conclusions against atomistic or experimental evidence.
Coarse-grained molecular dynamics methods
Coarse-grained force fields differ in mapping resolution, interaction potentials, solvent treatment, and parameterization philosophy. A Martini result should retain its force-field release and mapping files because model versions are not interchangeable.
Backmapping can produce atomistic starting structures, but it does not restore information that was absent from the coarse-grained trajectory. Atomistic relaxation and validation are required before interpreting local contacts or stereochemistry.
Coarse-grained molecular dynamics applications
Coarse-grained molecular dynamics is best suited to large assemblies, membranes, phase behavior, and longer effective sampling. 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 coarse-grained molecular dynamics online
The connected workflow is a post-run review workflow. Generate the scientific simulation externally, preserve its method-native records, then upload compatible files for complementary structural analysis.
- Choose mapping. Choose a force field and mapping whose training domain matches the system and question.
- Build externally. Build, equilibrate, and simulate the coarse-grained system in an external engine.
- Upload files. Upload the GRO topology and XTC trajectory and define explicit bead selections.
- Analyze beads. Review compactness, distances, collective motion, aggregation, and boundary handling.
- Validate conclusions. Compare key claims with experiments, atomistic refinement, or independent simulations.
How to interpret coarse-grained molecular dynamics results
Interpret observables at the model resolution. Bead distances, cluster sizes, membrane curvature, and assembly organization may be meaningful; side-chain hydrogen bonds or detailed rotamers generally are not.
Effective time does not always equal physical time. Report the simulation clock and any model-specific time mapping separately, and avoid kinetic rate claims unless validated for the chosen model and process.
How coarse-grained molecular dynamics works
Upload a GRO topology and XTC trajectory, then run selection-aware RMSD, radius-of-gyration, distance, and PCA review.
- Choose mapping. Choose a force field and mapping whose training domain matches the system and question.
- Build externally. Build, equilibrate, and simulate the coarse-grained system in an external engine.
- Upload files. Upload the GRO topology and XTC trajectory and define explicit bead selections.
- Analyze beads. Review compactness, distances, collective motion, aggregation, and boundary handling.
- Validate conclusions. Compare key claims with experiments, atomistic refinement, or independent simulations.
Inputs and outputs
Check formats before running, then inspect and download the result from every workflow step.
Inputs
Simulation evidence
PDBmmCIFTPRGROXTCA compatible GRO topology and XTC trajectory with mapping files, force-field version, and explicit bead selections.
Outputs
Simulation outputs
XTCPDBCSVJSONZIPSelection-aware structural and collective metrics for a compatible coarse-grained trajectory.
Frequently asked questions
A compatible GRO topology and XTC trajectory with mapping files, force-field version, and explicit bead selections.
Selection-aware structural and collective metrics for a compatible coarse-grained trajectory.
Not currently. The simulation must be generated with a suitable external engine. ProteinIQ can review compatible topology and trajectory files with MDAnalysis-based structural metrics, while method-specific logs, bias, forces, exchange statistics, or reweighting remain external.
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 mapping, force-field release, custom parameters, topology, equilibration, timestep, thermostat and barostat settings, bead selections, seeds, and replicas.
A complete coarse-grained molecular dynamics 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.
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