GROMACS Plugin for AiiDA
The GROMACS plugin for AiiDA aims to enable the capture and sharing of the full provenance of data when parameterising and running molecular dynamics simulations.
This resource is part of the BioSim (Biomolecular Simulations) Data Resources resource theme.
How to Access
Further Information
Creators
James Gebbie-Rayet & Jas Kalayan
Guidance
- Cloud Based Jupyter Tutorial: Recording Data Provenance with aiida-gromacs - Lysozyme in Water
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.
- Cloud Based Jupyter Tutorial: Recording Data Provenance with aiida-gromacs - Coarse-grained Simulation of membrane embedded GPCR
Tutorial with pre-loaded user environments for using aiida-gromacs to produce provenance workflows for biomolecular simulations. This Jupyter Notebook (.ipynb) tutorial follows the steps to embed a receptor protein in a lipid membrane. This example will guide an experienced user through the process of downloading, tidying up, orientating, coarse-graining, embedding, and solvating a receptor protein, ready for simulation. Each step will be wrapped in aiida-gromacs commands to capture its inputs and outputs.
Linked Resources
Publisher
Access
Open Access
License
Contact
http://github.com/ccpbiosim/aiida-gromacs/issues
Citation
Please cite: James Gebbie-Rayet and Jas Kalayan. GROMACS Plugin for AiiDA. Online. Version 2.0.8. 23 May 2024. Available from: https://resources.psdi.ac.uk/tool/772d0dc0-e082-44ef-a450-fa674c775e68. [accessed YYYY-MM-DD].

