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# Alanine Dipeptide trajectory data |
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This folder contains a minimal data set of two long MD trajectories for alanine |
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dipeptide, the simplest dipeptide (22 atoms). |
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For each trajectory two files are available: |
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* `protein-state0.pdb`: contains the topology and initial 3D XYZ coordinates. |
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* `protein-arrays.npz`: contains trajectory information. |
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## NPZ Information |
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The NPZ file contains detailed information for a subset of simulation steps. |
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There are T such frames and the NPZ file contains the following arrays: |
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* 'step': `(T,)` array, Md step number. |
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* 'energies': `(T,2)` array, each row containing [potential, kinetic] energies |
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in kJ/mol. |
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* 'positions': `(T,num_atoms,3)` array, positions in nm. |
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* 'velocities': `(T,num_atoms,3)` array, velocities in nm/ps. |
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* 'forces': `(T,num_atoms,3)` array, forces in kJ/(mol nm). |
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## Dataset construction |
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The dataset was constructed in the following way: |
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1. For the included `alanine-dipeptide.pdb` PDB file, perform a molecular |
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dynamics simulation: |
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a.) Use OpenMM with the AMBER14 force field and implicit water model. |
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b.) Perform an energy minimization (relaxation) from the initial PDB |
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configuration. |
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c.) Use a Langevin integrator at temperature T=310K, friction=0.3/ps, |
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timestep=0.5fs for 2e6 steps to equilibriate ("burn-in phase"). |
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d.) Use a Langevin integrator at temperature T=310K, friction=0.3/ps, |
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timestep=0.5fs for 2e8 steps to sample a trajectory ("sample phase"). |
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2. Save trajectory information every 1,000 steps (0.5ps) to an `arrays.npz` |
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file. |
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## Credit and Authors |
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This dataset was created in March 2022 as part of the Molecular Simulation |
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initiative. |
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