Solvate and Run MD [MDPrep] [MDRun]

Category Paths

Follow one of these paths in the Orion user interface, to find the floe.

  • Product-based/Molecular Dynamics/GROMACS

  • Product-based/Molecular Dynamics/OpenMM

  • Role-based/Computational Chemist

  • Role-based/Medicinal Chemist

  • Task-based/Molecular Dynamics

  • Solution-based/Hit to Lead/Target Preparation/Generic MD simulation

Description

  • Purpose:

    • This Floe performs MD simulations given one or more complete solutes as input, each to be treated in its entirety in a separate simulation.

  • Method Recommendations/Requirements:

    • The solutes need to have reasonable 3D coordinates, all atoms, and correct chemistry (in particular bond orders and formal charges).

    • Each solute can have multiple conformers but each conformer will be run separately.

    • The starting configuration should not have very high gradients, in particular no bad clashes.

    • Protein components need to be prepared to MD standards: protein chains must be capped, all atoms in protein residues (including hydrogens) must be present, and missing protein loops resolved or capped.

    • Crystallographic internal waters should be retained where possible.

  • Limitations

    • The output produced by this Floe is not compatible with the Analyze Protein-Ligand MD Floe

    • Currently this Floe cannot handle covalent bonds between different components such as ligand, protein, and cofactors.

    • Glycosylation on proteins is truncated and the amino acid is capped with H.

  • Expertise Level:

    • Regular/Intermediate/Advanced

  • Compute Resource:

    • Depends on simulation length; Minimal resources for default 2 ns.

  • Keywords:

    • MD, MDPrep

  • Related Floes:

    • Bound Protein-Ligand MD [MDPrep] [MD]

    • Ligand Bound and Unbound Equilibration for NES [MDPrep] [MD]

    • Short Trajectory MD with Analysis [MDPrep] [MD]

Each input solute is solvated to make a flask with periodic boundary conditions and parametrized according to the selected force fields. A minimization stage is performed on the flask followed by a warm up (NVT ensemble) and three equilibration stages (NPT ensemble). In the minimization, warm up and equilibration stages positional harmonic restraints are applied. At the end of the equilibration stages a production run (default 2ns) is performed on the unrestrained flask.

Promoted Parameters

Title in user interface (promoted name)

Solvation Parameters

density (density): Solution density in g/ml

  • Type: decimal

  • Default: 1.03

Salt Concentration (salt_concentration): Salt concentration (Na+, Cl-) in millimolar

  • Type: decimal

  • Default: 50.0

CPU GPU Spot Policy Selection

CPUs (cpu_count_md): The number of CPUs to run this cube with

  • Type: integer

  • Default: 16

GPUs (gpu_count_md): The number of GPUs to run this cube with

  • Type: integer

  • Default: 1

Spot policy (spot_policy_md): Control cube placement on spot market instances

  • Type: string

  • Default: Allowed

  • Choices: [‘Allowed’, ‘Preferred’, ‘NotPreferred’, ‘Prohibited’, ‘Required’]

MD Setup Parameters

Cube max run time (cube_max_run_time): Max Cube Running Time in hrs

  • Type: decimal

  • Default: 1

Protein Force Field (protein_ff): Force field to be applied to the protein

  • Type: string

  • Default: Amber14SB

  • Choices: [‘Amber14SB’, ‘Amber99SB’, ‘Amber99SBildn’, ‘AmberFB15’]

Ligand Force Field (ligand_ff): Force field to be applied to the ligand

  • Type: string

  • Default: OpenFF_2.0.0

  • Choices: [‘Gaff_1.81’, ‘Gaff_2.11’, ‘OpenFF_1.1.1’, ‘OpenFF_1.2.1’, ‘OpenFF_1.3.1’, ‘OpenFF_2.0.0’, ‘Smirnoff99Frosst’]

MD Engine (md_engine): Select the available MD engine

  • Type: string

  • Default: OpenMM

  • Choices: [‘OpenMM’, ‘Gromacs’]

Hydrogen Mass Repartitioning (HMR): Give hydrogens more mass to speed up the MD

  • Type: boolean

  • Default: True

  • Choices: [True, False]

  • NPT Production Runtime (prod_ns)*:

NPT simulation production time in nanoseconds

  • Type: decimal

  • Default: 2.0

Trajectory Interval (prod_trajectory_interval): Trajectory saving interval in nanoseconds

  • Type: decimal

  • Default: 0.004