Installation
Create a virtual environment with Python 3.9:
You can use Python’s venv
or conda
depending on your choice.
Commands are provided below:
with venv
python -m venv .venv
source .venv/bin/activate
with conda
conda create -n haddock3 python=3.9
conda activate haddock3
git clone https://github.com/haddocking/haddock3.git
cd haddock3
pip install .
(Optional) Install MPI libraries if you intend to run HADDOCK3 with MPI
To use the mpi implementation of haddock3 you must have mpi4py installed in the (haddock3)
python environment, and OpenMPI in the host system.
$ pip install mpi4py
# or
$ conda install -c conda-forge mpi4py
Later, you can find here instructions on how to run HADDOCK3 with MPI.
(Optional) Install web service dependencies if you intend to run HADDOCK3 restraints web service
To run the restraints web service you must have the following dependencies installed in the (haddock3)
python environment:
pip install uvicorn fastapi
Information on the restraints web service can be found here.
Installing third-party packages
HADDOCK3 can integrate third-party software in its workflows. We are not responsible for the proper installation of such packages, but we help you install them. Below, you will find a list of all third-party packages HADDOCK3 can use and guidelines for their proper installation.
lightdock
(outdated)
To install lightdock follow the instructions on the project’s website. Remember to install it under the same Python environment you created for HADDOCK3. If you have any doubts, please let us know.
gdock
(outdated)
Clone the latest version:
cd some-folder
git clone https://github.com/rvhonorato/gdock.git
Install Python3+ dependencies
pip install deap scipy mgzip biopython
Set
GDOCK_PATH
export GDOCK_PATH=some-folder
Important: These are not the full gdock
installation
instructions as only the model generation is used here. Please check the
repository page for more
information.
openmm
Install the latest version of openmm and pdbfixer
# Activate the haddock3 env
conda activate haddock3
# libstdxx must be installed, maybe already present in your system
conda install -c conda-forge libstdcxx-ng
# Install OpenMM and related tools/binaries
conda install -c conda-forge openmm pdbfixer
Openmm should automatically detect the fastest platform among those available on your machine.
Please refer to the official page of the project for a full description of the installation procedure.