Bound Protein-Ligand 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 a prepared protein and a set of posed and prepared ligands.
Method Recommendations/Requirements:
The ligands need to have reasonable 3D coordinates, all atoms, and correct chemistry (in particular bond orders and formal charges).
Each ligand can have multiple conformers but each conformer will be run separately as a different ligand.
The starting poses should not have very high gradients, in particular no bad clashes with the protein.
The protein needs 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
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:
Short Trajectory MD with Analysis [MDPrep] [MD]
Ligand Bound and Unbound Equilibration for NES [MDPrep] [MD]
Given the inputs of the protein and posed ligands, the complex is formed with each ligand/conformer separately, and the complex is solvated and parametrized according to the selected force fields. A minimization stage is performed on the system followed by a warm up (NVT ensemble) and several equilibration stages (NPT ensemble). In the minimization, warm up, and equilibration stages, positional harmonic restraints are applied on the ligand and protein. At the end of the equilibration stages a production run (by default only 2 ns) is performed on the unrestrained system. The trajectory and final state are written out in the results record; no analysis is performed.
Promoted Parameters
Title in user interface (promoted name)
Inputs
Protein Input Dataset (protein): Protein Input Dataset
Type: data_source
Ligand Input Dataset (ligands): Ligands-only input dataset or protein-ligand input dataset containing Design Unit prepared by SPRUCE
Required
Type: data_source
Complex Setup Parameters
Protein Name (flask_title): Prefix name used to identify the Protein. If not specified, it will use the title of the input protein.
Type: string
Default:
Maximum Number of MD Runs (max_md_runs): The maximum allowed number of MD runs
Type: integer
Default: 500
Number of MD Starts (n_md_starts): The number of MD starts for each ligand/conformer
Type: integer
Default: 1
Assign Ligand Partial Charges (charge_ligands): Assign ligand partial charges or not
Type: boolean
Default: True
Choices: [True, False]
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