ffea_ci_demo
A fork of FFEA to demonstrate GitHub Actions (continuous integration)
Science Score: 31.0%
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✓CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (2.6%) to scientific vocabulary
Last synced: 10 months ago
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Repository
A fork of FFEA to demonstrate GitHub Actions (continuous integration)
Basic Info
- Host: GitHub
- Owner: RSE-Sheffield
- License: other
- Language: C++
- Default Branch: master
- Homepage: https://bitbucket.org/FFEA/ffea/src/master/
- Size: 61.6 MB
Statistics
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 1
- Releases: 0
Created over 1 year ago
· Last pushed over 1 year ago
Metadata Files
Readme
Changelog
License
Citation
README.md
Please visit our web site at
ffea.readthedocs.io.
Install instructions can be read in INSTALL.md as well as at online.
Owner
- Name: RSE Sheffield
- Login: RSE-Sheffield
- Kind: organization
- Email: rse@sheffield.ac.uk
- Location: Sheffield, UK
- Website: https://rse.shef.ac.uk
- Twitter: rse_sheffield
- Repositories: 36
- Profile: https://github.com/RSE-Sheffield
Research Software Engineering team at the University of Sheffield
Citation (citations/ffea.bib)
@article{10.1371/journal.pcbi.1005897,
author = {Solernou, Albert AND Hanson, Benjamin S. AND Richardson, Robin A. AND Welch, Robert AND Read, Daniel J. AND Harlen, Oliver G. AND Harris, Sarah A.},
journal = {PLOS Computational Biology},
publisher = {Public Library of Science},
title = {Fluctuating Finite Element Analysis (FFEA): A continuum mechanics software tool for mesoscale simulation of biomolecules},
year = {2018},
month = {03},
volume = {14},
url = {https://doi.org/10.1371/journal.pcbi.1005897},
pages = {1-29},
abstract = {Fluctuating Finite Element Analysis (FFEA) is a software package designed to perform continuum mechanics simulations of proteins and other globular macromolecules. It combines conventional finite element methods with stochastic thermal noise, and is appropriate for simulations of large proteins and protein complexes at the mesoscale (length-scales in the range of 5 nm to 1 μm), where there is currently a paucity of modelling tools. It requires 3D volumetric information as input, which can be low resolution structural information such as cryo-electron tomography (cryo-ET) maps or much higher resolution atomistic co-ordinates from which volumetric information can be extracted. In this article we introduce our open source software package for performing FFEA simulations which we have released under a GPLv3 license. The software package includes a C ++ implementation of FFEA, together with tools to assist the user to set up the system from Electron Microscopy Data Bank (EMDB) or Protein Data Bank (PDB) data files. We also provide a PyMOL plugin to perform basic visualisation and additional Python tools for the analysis of FFEA simulation trajectories. This manuscript provides a basic background to the FFEA method, describing the implementation of the core mechanical model and how intermolecular interactions and the solvent environment are included within this framework. We provide prospective FFEA users with a practical overview of how to set up an FFEA simulation with reference to our publicly available online tutorials and manuals that accompany this first release of the package.},
number = {3},
doi = {10.1371/journal.pcbi.1005897}
}
GitHub Events
Total
- Member event: 1
- Push event: 8
- Pull request event: 1
- Create event: 3
Last Year
- Member event: 1
- Push event: 8
- Pull request event: 1
- Create event: 3