recipe mmcif

mmCIF Core Access Library

Homepage:

https://rcsb.github.io/py-mmcif

Developer docs:

https://github.com/rcsb/py-mmcif

License:

BSD-3-Clause AND Apache-2.0

Recipe:

/mmcif/meta.yaml

This module includes a native Python mmCIF API for data files and dictionaries along with pybind11 wrappers for the PDB C++ Core mmCIF Library.

package mmcif

versions:

0.92.0-1,  0.92.0-0,  0.91.0-0

depends future:

depends libgcc:

>=13

depends libstdcxx:

>=13

depends msgpack-python:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends requests:

>=2.25

depends six:

requirements:

additional platforms:

linux-aarch64,  osx-arm64

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 mmcif

and update with::

   mamba update mmcif

To create a new environment, run:

mamba create --name myenvname mmcif

with myenvname being 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/mmcif:<tag>

(see `mmcif/tags`_ for valid values for ``<tag>``)

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