Skip to main content

An open-source Python package of the AlphaPept ecosystem

Project description

Pip installation GUI and PyPi releases Downloads Downloads Downloads


An open-source Python package for integrating information from predicted protein structures deposited in the AlphaFold database with proteomics data and specifically with post-translational modifications (PTMs). PTMs on the 3D protein structures can be visualised by AlphaMap. To enable all hyperlinks in this document, please view it at GitHub.


An open-source Python package for integrating information from predicted protein structures deposited in the AlphaFold database with proteomics data and specifically with post-translational modifications (PTMs). PTMs on 3D protein structures can be visualised by AlphaMap.


structuremap was developed by the Mann Labs at the Max Planck Institute of Biochemistry and the University of Copenhagen and is freely available with an Apache License. External Python packages (available in the requirements folder) have their own licenses, which can be consulted on their respective websites.


structuremap can be installed and used on all major operating systems (Windows, macOS and Linux). There are two different types of installation possible:

  • Pip installer: Choose this installation if you want to use structuremap as a Python package in an existing Python 3.8 environment (e.g. a Jupyter notebook). If needed, the GUI and CLI can be installed with pip as well.
  • Developer installer: Choose this installation if you are familiar with CLI tools, conda and Python. This installation allows access to all available features of structuremap and even allows to modify its source code directly. Generally, the developer version of structuremap outperforms the precompiled versions which makes this the installation of choice for high-throughput experiments.


structuremap can be installed in an existing Python 3.8 environment with a single bash command. This bash command can also be run directly from within a Jupyter notebook by prepending it with a !:

pip install structuremap

Installing structuremap like this avoids conflicts when integrating it in other tools, as this does not enforce strict versioning of dependancies. However, if new versions of dependancies are released, they are not guaranteed to be fully compatible with structuremap. While this should only occur in rare cases where dependencies are not backwards compatible, you can always force structuremap to use dependancy versions which are known to be compatible with:

pip install "structuremap[stable]"

NOTE: You might need to run pip install pip==21.0 before installing structuremap like this. Also note the double quotes ".

For those who are really adventurous, it is also possible to directly install any branch (e.g. @development) with any extras (e.g. #egg=structuremap[stable,development-stable]) from GitHub with e.g.

pip install "git+[stable,development-stable]"


structuremap can also be installed in editable (i.e. developer) mode with a few bash commands. This allows to fully customize the software and even modify the source code to your specific needs. When an editable Python package is installed, its source code is stored in a transparent location of your choice. While optional, it is advised to first (create and) navigate to e.g. a general software folder:

mkdir ~/folder/where/to/install/software
cd ~/folder/where/to/install/software

The following commands assume you do not perform any additional cd commands anymore.

Next, download the structuremap repository from GitHub either directly or with a git command. This creates a new structuremap subfolder in your current directory.

git clone

For any Python package, it is highly recommended to use a separate conda virtual environment, as otherwise dependancy conflicts can occur with already existing packages.

conda create --name structuremap python=3.8 -y
conda activate structuremap

Finally, structuremap and all its dependancies need to be installed. To take advantage of all features and allow development (with the -e flag), this is best done by also installing the development dependencies instead of only the core dependencies:

pip install -e "./structuremap[development]"

By default this installs loose dependancies (no explicit versioning), although it is also possible to use stable dependencies (e.g. pip install -e "./structuremap[stable,development-stable]").

By using the editable flag -e, all modifications to the structuremap source code folder are directly reflected when running structuremap. Note that the structuremap folder cannot be moved and/or renamed if an editable version is installed. In case of confusion, you can always retrieve the location of any Python module with e.g. the command import module followed by module.__file__.


Python and Jupyter notebooks

structuremap can be imported as a Python package into any Python script or notebook with the command import structuremap.

A brief Jupyter notebook tutorial on how to use the API is also present in the nbs folder.


In case of issues, check out the following:

  • Issues: Try a few different search terms to find out if a similar problem has been encountered before
  • Discussions: Check if your problem or feature requests has been discussed before.

Citing structuremap

If you use structuremap for your work, please cite our paper on biorxiv:

How to contribute

If you like this software, you can give us a star to boost our visibility! All direct contributions are also welcome. Feel free to post a new issue or clone the repository and create a pull request with a new branch. For an even more interactive participation, check out the discussions and the the Contributors License Agreement.


See the for a full overview of the changes made in each version.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

structuremap-0.0.9.tar.gz (30.5 kB view hashes)

Uploaded source

Built Distribution

structuremap-0.0.9-py3-none-any.whl (29.0 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page