Plain Molecular Dynamics [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
Tutorials and Further Reading:
Plain MD (to avoid leaving this page, right-click and open link in new tab)
Purpose
This Floe runs unrestricted plain MD simulations on input datasets with fully set up, parameterized, and ready-to-run flasks. It makes possible long MD simulations in Orion, running MD simulations in chunks by using a Floe cycle topology.
Method Recommendations/Requirements:
If for some reason the Floe along the cycling should stop, the user can try to restart the Floe by using the recovery output
One input is required:
An Orion Dataset having records with a completely set up and ready-to-run MD flask, including solvent and counterions, and with the force field parameter applied. This can be produced by running one of the MD Floes like the Short Trajectory MD or the Bound Protein Ligand MD Floes, but it is not a prior restricted to protein-ligand flasks.
Expertise Level:
Regular
Compute Resource:
High
Keywords:
MD, Analysis
Related Floes:
Ligand Bound and Unbound Equilibration for NES [MDPrep] [MD]
Bound Protein-Ligand MD [MDPrep] [MDRun]
Analyze Protein-Ligand MD [MDAnalysis]
When the Floe completes, the produced chunked trajectories are uploaded to s3 as files and can be downloaded for analysis. In Addition the output dataset will have on its records the references to the produced trajectories which can then be extracted by using the MDDataRecord API.
If the starting dataset was generated by using the Bound Protein-Ligand Floe or the Ligand Bound and Unbound Equilibration Floe than the cycle Floe output can be analyzed by the Analyze Protein-Ligand MD Floe, although very large trajectories can cause problems for the clustering step in the analysis.
Promoted Parameters
Title in user interface (promoted name)
CPU GPU Spot Policy Selection
CPUs (cpu_count_md): The number of CPUs to run this cube with
Type: integer
Default: 12
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’]
Plain MD Setup Parameters
Time (time): Total simulation time in nanoseconds
Type: decimal
Default: 10
MD Engine (md_engine): Select the available MD Engine
Type: string
Default: OpenMM
Choices: [‘OpenMM’, ‘Gromacs’]
Hydrogen Mass Repartitioning (HMR): Give hydrogens more mass and increase the MD integration time step from 2 to 4 fs
Type: boolean
Default: True
Choices: [True, False]
Trajectory Interval (trajectory_interval): Trajectory saving interval in nanoseconds
Type: decimal
Default: 0.01
Reporter interval (reporter_interval): Reporter saving interval in nanoseconds
Type: decimal
Default: 0.01
Cube max run time (cube_max_run_time): Max Cube Running Time in hrs
Type: decimal
Default: 1