- recipe colabfold
ColabFold: making protein folding accessible to all
- Homepage:
- License:
MIT
- Recipe:
- Links:
doi: 10.1038/s41592-022-01488-1, biotools: colabfold
- package colabfold¶
- versions:
1.5.5-2,1.5.5-1,1.5.5-0,1.5.3-1,1.5.3-0- depends absl-py:
- depends appdirs:
- depends biopython:
<=1.82- depends dm-haiku:
>=0.0.12- depends dm-tree:
- depends hhsuite:
>=3.3.0- depends importlib-metadata:
- depends jax:
>=0.4.23,<0.4.26- depends jaxlib:
>=0.4.23,<0.4.26- depends kalign2:
>=2.04- depends matplotlib-base:
- depends ml-collections:
- depends mmseqs2:
>=15.6f452- depends numpy:
- depends openmm:
>=7.7.0,<8.1.0- depends pandas:
- depends pdbfixer:
- depends py3dmol:
- depends python:
- depends requests:
- depends scipy:
- depends tensorflow-base:
>=2.12.1 cpu*- depends tqdm:
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install colabfold and update with:: mamba update colabfold
To create a new environment, run:
mamba create --name myenvname colabfold
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/colabfold:<tag> (see `colabfold/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/colabfold/README.html)
