- recipe haddock_biobb
HADDOCK3 is the next generation integrative modelling software in the long-lasting HADDOCK project.
- Homepage:
- License:
APACHE / Apache-2.0
- Recipe:
HADDOCK3 is the next generation integrative modelling software in the long-lasting HADDOCK project. It represents a complete rethinking and rewriting of the HADDOCK2.X series, implementing a new way to interact with HADDOCK and offering new features to users who can now define custom workflows.
- package haddock_biobb¶
- Versions:
2025.11-0,2025.5-3,2025.5-2,2025.5-1,2025.5-0,3.0.7-0,3.0.6-2,3.0.6-1,3.0.6-0,2025.11-0,2025.5-3,2025.5-2,2025.5-1,2025.5-0,3.0.7-0,3.0.6-2,3.0.6-1,3.0.6-0,3.0.5-1,3.0.5-0,3.0.4-0,3.0.3-0,3.0.2-0,3.0.1-0,3.0.0-0- Depends:
on biopython
on freesasa
on jsonpickle
on kaleido-core
on numpy
on pandas
on pdb-tools
on pip
on plotly
on python
>=3.10,<3.13on pyyaml
on scipy
on toml
on tox
- Additional platforms:
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 haddock_biobb
to add into an existing workspace instead, run:
pixi add haddock_biobb
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 haddock_biobb
Alternatively, to install into a new environment, run:
conda create -n envname haddock_biobb
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/haddock_biobb:<tag>
(see haddock_biobb/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/haddock_biobb/README.html)
