Cloud Based Jupyter Tutorial: Recording Data Provenance with aiida-gromacs - Lysozyme in Water

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Tutorial with pre-loaded user environments for using aiida-gromacs to produce provenance workflows for biomolecular simulations. This Jupyter Notebook (.ipynb) tutorial follows the first six steps of Justin Lemkul's lysozyme tutorial (http://www.mdtutorials.com/gmx/lysozyme/). This example will guide a new user through the process of setting up a simulation system containing a protein (lysozyme) in a box of water, with ions. Each step will contain an explanation of input and output, using typical settings for general use.

This resource is part of the BioSim (Biomolecular Simulations) Data Resources resource theme.

Creators

James Gebbie-Rayet & Jas Kalayan

Qualified Attribution

Publisher

PSDI

Access

Restricted Access

License

MIT

Contact

support@psdi.ac.uk

Citation

Please cite: James Gebbie-Rayet and Jas Kalayan. Cloud Based Jupyter Tutorial: Recording Data Provenance with aiida-gromacs - Lysozyme in Water. Online. 23 May 2024. Available from: https://resources.psdi.ac.uk/guidance/d543bbab-ce55-41ca-a4ab-b61ff0bbfd57. [accessed YYYY-MM-DD].

Keywords and Subjects

PSDI-pathfinder
molecular dynamics
biomolecular simulation
trajectory
gromacs
protein dynamics
drug discovery
pdb
biomolecules
proteins
dna
membranes
provenance
enhanced sampling
metadynamics
free energy
alchemical free energy
protein folding
alphafold
data storage
structural biology
computational biology
computational biochemistry
computational chemistry
aiida-plugin
aiida-gromacs
simulation provenance
data provenance