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.
This resource is part of the BioSim (Biomolecular Simulations) Data Resources resource theme.
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James Gebbie-Rayet & Jas Kalayan
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Please cite: James Gebbie-Rayet and Jas Kalayan. Cloud Based Jupyter Tutorial: Recording Data Provenance with aiida-gromacs - Coarse-grained Simulation of membrane embedded GPCR. Online. 23 May 2024. Available from: https://resources.psdi.ac.uk/guidance/fc34eacc-04c4-44dc-b4c9-28c3e3192d42. [accessed YYYY-MM-DD].

