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# Open Drug Discovery Toolkit
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# Open Drug Discovery Toolkit
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Open Drug Discovery Toolkit (ODDT) is modular and comprehensive toolkit for use in cheminformatics, molecular modeling etc. ODDT is written in Python, and make extensive use of Numpy/Scipy
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Open Drug Discovery Toolkit (ODDT) is modular and comprehensive toolkit for use in cheminformatics, molecular modeling etc. ODDT is written in Python, and make extensive use of Numpy/Scipy
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[![Documentation Status](https://readthedocs.org/projects/oddt/badge/?version=latest)](http://oddt.readthedocs.org/en/latest/)
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[![Documentation Status](https://readthedocs.org/projects/oddt/badge/?version=latest)](http://oddt.readthedocs.org/en/latest/)
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[![Build Status](https://travis-ci.org/oddt/oddt.svg?branch=master)](https://travis-ci.org/oddt/oddt)
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[![Build Status](https://travis-ci.org/oddt/oddt.svg?branch=master)](https://travis-ci.org/oddt/oddt)
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[![Coverage Status](https://coveralls.io/repos/github/oddt/oddt/badge.svg?branch=master)](https://coveralls.io/github/oddt/oddt?branch=master)
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[![Coverage Status](https://coveralls.io/repos/github/oddt/oddt/badge.svg?branch=master)](https://coveralls.io/github/oddt/oddt?branch=master)
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[![Code Health](https://landscape.io/github/oddt/oddt/master/landscape.svg?style=flat)](https://landscape.io/github/oddt/oddt/master)
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[![Code Health](https://landscape.io/github/oddt/oddt/master/landscape.svg?style=flat)](https://landscape.io/github/oddt/oddt/master)
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[![Conda packages](https://anaconda.org/oddt/oddt/badges/version.svg?style=flat)](https://anaconda.org/oddt/oddt)
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[![Conda packages](https://anaconda.org/oddt/oddt/badges/version.svg?style=flat)](https://anaconda.org/oddt/oddt)
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[![Latest Version](https://img.shields.io/pypi/v/oddt.svg)](https://pypi.python.org/pypi/oddt/)
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[![Latest Version](https://img.shields.io/pypi/v/oddt.svg)](https://pypi.python.org/pypi/oddt/)
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## Documentation, Discussion and Contribution:
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## Documentation, Discussion and Contribution:
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  * Documentation: http://oddt.readthedocs.org/en/latest
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  * Documentation: http://oddt.readthedocs.org/en/latest
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  * Mailing list: oddt@googlegroups.com  http://groups.google.com/d/forum/oddt
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  * Mailing list: oddt@googlegroups.com  http://groups.google.com/d/forum/oddt
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  * Issues: https://github.com/oddt/oddt/issues
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  * Issues: https://github.com/oddt/oddt/issues
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## Requirements
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## Requirements
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  * Python 3.6+
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  * Python 3.6+
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  * OpenBabel (3.0+) or/and RDKit (2018.03+)
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  * OpenBabel (3.0+) or/and RDKit (2018.03+)
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  * Numpy (1.12+)
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  * Numpy (1.12+)
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  * Scipy (0.19+)
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  * Scipy (0.19+)
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  * Sklearn (0.18+)
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  * Sklearn (0.18+)
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  * joblib (0.10+)
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  * joblib (0.10+)
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  * pandas (0.19.2+)
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  * pandas (0.19.2+)
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  * Skimage (0.12.3+) (optional, only for surface generation)
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  * Skimage (0.12.3+) (optional, only for surface generation)
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## Install
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## Install
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### Using PyPi (pip)
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### Using PyPi (pip)
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  When all requirements are met, then installation process is simple
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  When all requirements are met, then installation process is simple
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  > python setup.py install
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  > python setup.py install
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  You can also use pip. All requirements besides toolkits (OpenBabel, RDKit) are installed if necessary.
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  You can also use pip. All requirements besides toolkits (OpenBabel, RDKit) are installed if necessary.
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  Installing inside virtualenv is encouraged, but not necessary.
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  Installing inside virtualenv is encouraged, but not necessary.
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  > pip install oddt
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  > pip install oddt
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  To upgrade oddt using pip (without upgrading dependencies):
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  To upgrade oddt using pip (without upgrading dependencies):
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  > pip install -U --no-deps oddt
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  > pip install -U --no-deps oddt
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### Using conda
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### Using conda
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  Install a clean [Miniconda environment](https://conda.io/miniconda.html), if you already don't have one.
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  Install a clean [Miniconda environment](https://conda.io/miniconda.html), if you already don't have one.
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  Install ODDT:
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  Install ODDT:
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  > conda install -c oddt oddt
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  > conda install -c oddt oddt
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  You can add a toolkit of your choice or install them along with oddt:
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  You can add a toolkit of your choice or install them along with oddt:
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  > conda install -c conda-forge oddt rdkit openbabel
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  > conda install -c conda-forge oddt rdkit openbabel
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  (Optionally) Install OpenBabel (using [official  channel](https://anaconda.org/openbabel/openbabel)):
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  (Optionally) Install OpenBabel (using [official  channel](https://anaconda.org/openbabel/openbabel)):
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  > conda install -c conda-forge openbabel
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  > conda install -c conda-forge openbabel
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  (Optionally) Install RDKit (using [official channel](https://anaconda.org/rdkit/rdkit)):
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  (Optionally) Install RDKit (using [official channel](https://anaconda.org/rdkit/rdkit)):
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  > conda install -c conda-forge rdkit
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  > conda install -c conda-forge rdkit
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  Upgrading procedure using conda is straightforward:
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  Upgrading procedure using conda is straightforward:
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  > conda update -c oddt oddt
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  > conda update -c oddt oddt
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### Documentation
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### Documentation
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Automatic documentation for ODDT is available on [Readthedocs.org](https://oddt.readthedocs.org/). Additionally, it can be build locally:
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Automatic documentation for ODDT is available on [Readthedocs.org](https://oddt.readthedocs.org/). Additionally, it can be build locally:
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   > cd docs
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   > cd docs
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   > make html
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   > make html
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   > make latexpdf
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   > make latexpdf
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### License
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### License
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ODDT is released under permissive [3-clause BSD license](./LICENSE)
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ODDT is released under permissive [3-clause BSD license](./LICENSE)
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### Reference
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### Reference
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If you found Open Drug Discovery Toolkit useful for your research, please cite us!
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If you found Open Drug Discovery Toolkit useful for your research, please cite us!
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1. Wójcikowski, M., Zielenkiewicz, P., & Siedlecki, P. (2015). Open Drug Discovery Toolkit (ODDT): a new open-source player in the drug discovery field. Journal of Cheminformatics, 7(1), 26. [doi:10.1186/s13321-015-0078-2](https://dx.doi.org/10.1186/s13321-015-0078-2)
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1. Wójcikowski, M., Zielenkiewicz, P., & Siedlecki, P. (2015). Open Drug Discovery Toolkit (ODDT): a new open-source player in the drug discovery field. Journal of Cheminformatics, 7(1), 26. [doi:10.1186/s13321-015-0078-2](https://dx.doi.org/10.1186/s13321-015-0078-2)
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