Use case

All-atom molecular dynamics

Run atomistic protein simulations with explicit force-field, solvent, ensemble, and trajectory settings.

All-atom molecular dynamicsRead-only preview

Inputs

1 required

Methods

2 connected

  1. 01PDB Fixer
  2. 02OpenMM · All-Atom MD

Prepare a protein with PDB Fixer and run OpenMM using an all-atom AMBER force field and explicit-solvent NPT settings.

Use this template

What is all-atom molecular dynamics?

All-atom molecular dynamics is a simulation method that represents every modeled atom explicitly and calculates its motion under an atomistic force field. Hydrogen atoms may be explicit even when constrained bonds permit a larger timestep. Atomistic resolution supports detailed interaction analysis, but it increases system size and does not eliminate limitations in parameterization or conformational sampling.

Choose all-atom MD when local interactions, hydration, side-chain rearrangements, salt bridges, or ligand contacts matter. Confirm that every residue, cofactor, ion, ligand, terminus, and modification has compatible parameters; an apparently complete coordinate file is not necessarily a complete topology.

ProteinIQ can run GPU-accelerated OpenMM simulations for proteins and optionally protein–ligand systems with AMBER or CHARMM protein force fields and explicit or implicit solvent. The focused template prepares a protein and configures an all-atom AMBER simulation; specialized components still require validated parameter files.

When to use all-atom molecular dynamics

  • Best fit. Detailed protein and protein–ligand conformational analysis
  • Required evidence. Complete atomistic coordinates, compatible parameters, solvent model, ions, ensemble, and duration

Benefits of all-atom molecular dynamics

  • Preserves atom-level interactions. Preserves atom-level interactions for projects focused on detailed protein and protein–ligand conformational analysis.
  • Supports explicit hydration. Supports explicit hydration for projects focused on detailed protein and protein–ligand conformational analysis.
  • Works with established force fields. Works with established force fields for projects focused on detailed protein and protein–ligand conformational analysis.

Primary limitations

  • Computationally demanding. Computationally demanding. Address this with complete atomistic coordinates, compatible parameters, solvent model, ions, ensemble, and duration.
  • Parameter coverage can fail. Parameter coverage can fail. Address this with complete atomistic coordinates, compatible parameters, solvent model, ions, ensemble, and duration.
  • Timescale limits remain. Timescale limits remain. Address this with complete atomistic coordinates, compatible parameters, solvent model, ions, ensemble, and duration.

All-atom molecular dynamics methods

Atomistic force fields assign bonded terms, partial charges, and van der Waals parameters to defined atom types. Long-range electrostatics, nonbonded cutoffs, water model, constraints, and integration timestep form part of the scientific method.

OpenMM accelerates the same physical model on GPUs but does not make every setup equivalent. Compare only simulations with compatible Hamiltonians and clearly document any ligand parameterization or custom force terms.

All-atom molecular dynamics applications

All-atom molecular dynamics is best suited to detailed protein and protein–ligand conformational analysis. 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 all-atom molecular dynamics online

The connected workflow prepares the structure and runs the configured conventional simulation. Review every system and ensemble setting before submission.

  1. Audit atoms. Audit missing atoms, alternate locations, termini, modifications, ligands, cofactors, and protonation.
  2. Prepare topology. Choose mutually compatible protein, ligand, water, and ion parameters and preserve versions.
  3. Set ensemble. Set solvent, box, electrostatics, constraints, timestep, temperature, pressure, duration, and reporting.
  4. Run OpenMM. Run minimization, equilibration, and production with OpenMM and retain checkpoints and logs.
  5. Inspect details. Inspect stability, contacts, hydration, secondary structure, compactness, and replicate agreement.

How to interpret all-atom molecular dynamics results

Use atom-level detail selectively. Persistent hydrogen bonds and salt bridges should be reported with geometric definitions and occupancy; transient contacts need temporal context and uncertainty across replicas.

Representative snapshots are illustrations, not population estimates. Cluster or state populations require adequate sampling, a declared feature space, and sensitivity checks for alignment and cutoff choices.

How all-atom molecular dynamics works

Prepare a protein with PDB Fixer and run OpenMM using an all-atom AMBER force field and explicit-solvent NPT settings.

  1. Audit atoms. Audit missing atoms, alternate locations, termini, modifications, ligands, cofactors, and protonation.
  2. Prepare topology. Choose mutually compatible protein, ligand, water, and ion parameters and preserve versions.
  3. Set ensemble. Set solvent, box, electrostatics, constraints, timestep, temperature, pressure, duration, and reporting.
  4. Run OpenMM. Run minimization, equilibration, and production with OpenMM and retain checkpoints and logs.
  5. Inspect details. Inspect stability, contacts, hydration, secondary structure, compactness, and replicate agreement.

Inputs and outputs

Check formats before running, then inspect and download the result from every workflow step.

Inputs

  • Simulation evidence. PDB mmCIF TPR GRO XTC A protein PDB, ENT, or mmCIF file and, optionally, a compatible ligand parameter file.

Outputs

  • Simulation outputs. XTC PDB CSV JSON ZIP OpenMM trajectory, final coordinates, logs, checkpoints, energies, and analysis-ready files.

Frequently asked questions

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.

Open simulation workflow