- recipe godmd
GOdMD Conformational Transitions with discrete Molecular Dynamics.
- Homepage:
- License:
APACHE / Apache Software License
- Recipe:
GOdMD is a new method for determining pathways for conformational transitions in macromolecules based on the use of discrete molecular dynamics and biasing techniques based on a combination of essential dynamics and Maxwell-Demon sampling techniques. The method can work with high efficiency at different levels of resolution, including the atomistic one, and can help to define initial pathways for further exploration by means of more accurate atomistic molecular dynamics simulations.
- package godmd¶
-
- Versions:
1.8-0,1.7-0,1.6-0,1.0.0-4,1.0.0-3,1.0.0-2,1.0.0-0- Depends:
on libgcc
>=14on libgfortran
on libgfortran5
>=14.3.0on libstdcxx
>=14
- Additional platforms:
linux-aarch64,osx-arm64
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install godmd
to add into an existing workspace instead, run:
pixi add godmd
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install godmd
Alternatively, to install into a new environment, run:
conda create -n envname godmd
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/godmd:<tag>
(see godmd/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/godmd/README.html)