E3FP: Extended 3-Dimensional FingerPrint
========================================
|Docs Status| |CI Status| |Codecov Status| |PyPi Version| |Conda Version| |License|
E3FP [1]_ is a 3D molecular fingerprinting method inspired by Extended
Connectivity FingerPrints (ECFP) [2]_, integrating tightly with the RDKit_.
Documentation is hosted by ReadTheDocs_, and development occurs on GitHub_.
Installation and Usage
----------------------
For installation and usage instructions, see the
`documentation <http://e3fp.readthedocs.io>`__.
See the E3FP `paper repository`_ for an application of E3FP and all code used
for the E3FP paper [1]_.
License
-------
E3FP is available under the `GNU Lesser General Public License version 3.0
<https://www.gnu.org/licenses/lgpl.html>`_ (LGPLv3). See the
`documentation <http://e3fp.readthedocs.io/en/latest/overview.html#license>`__
for more details.
References
----------
.. [1] |axen2017|
.. [2] |rogers2010|
.. substitutions
.. _RDKit: http://www.rdkit.org
.. _GitHub: https://github.com/keiserlab/e3fp
.. _paper repository: https://github.com/keiserlab/e3fp-paper
.. _ReadTheDocs: http://e3fp.readthedocs.io
.. |axen2017_doi| image:: https://img.shields.io/badge/doi-10.1021/acs.jmedchem.7b00696-blue.svg
:target: http://dx.doi.org/10.1021/acs.jmedchem.7b00696
:alt: Access the paper
.. |axen2017| replace:: Axen SD, Huang XP, Caceres EL, Gendelev L, Roth BL, Keiser MJ. A Simple Representation Of Three-Dimensional Molecular Structure. *J. Med. Chem.* **60** (17): 7393–7409 (2017). |axen2017_doi| |bioRxiv|
.. |rogers2010_doi| image:: https://img.shields.io/badge/doi-10.1021/ci100050t-blue.svg
:target: http://dx.doi.org/10.1021/ci100050t
:alt: Access the paper
.. |rogers2010| replace:: Rogers D & Hahn M. Extended-connectivity fingerprints. *J. Chem. Inf. Model.* **50**: 742-54 (2010). |rogers2010_doi|
.. |CI Status| image:: https://github.com/keiserlab/e3fp/workflows/CI/badge.svg?branch=master
:target: https://github.com/keiserlab/e3fp/actions?query=workflow%3ACI
:alt: CI Status
.. |Docs Status| image:: http://readthedocs.org/projects/e3fp/badge/?version=latest
:target: http://e3fp.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. |Codecov Status| image:: https://codecov.io/github/keiserlab/e3fp/coverage.svg?branch=master
:target: https://codecov.io/github/keiserlab/e3fp?branch=master
:alt: Code Coverage
.. |PyPi Version| image:: https://img.shields.io/pypi/v/e3fp.svg
:target: https://pypi.python.org/pypi/e3fp
:alt: Package on PyPi
.. |Conda Version| image:: https://img.shields.io/conda/v/conda-forge/e3fp.svg
:target: https://anaconda.org/conda-forge/e3fp
:alt: Package on Anaconda
.. |License| image:: https://img.shields.io/badge/license-LGPLv3-blue.svg
:target: https://github.com/keiserlab/e3fp/blob/master/LICENSE.txt
.. |bioRxiv| image:: https://img.shields.io/badge/bioRxiv-136705-blue.svg
:target: https://doi.org/10.1101/136705
:alt: Access the preprint on bioRxiv
Raw data
{
"_id": null,
"home_page": null,
"name": "e3fp",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.13,>=3.9",
"maintainer_email": null,
"keywords": "e3fp, 3d, molecule, fingerprint, conformer",
"author": null,
"author_email": "Seth Axen <seth.axen@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/4e/af/160ef3325339ab3163d7103a917e239dbebc5671e5cb9d7b7cb8445cddf8/e3fp-1.2.6.tar.gz",
"platform": null,
"description": "E3FP: Extended 3-Dimensional FingerPrint\n========================================\n\n|Docs Status| |CI Status| |Codecov Status| |PyPi Version| |Conda Version| |License|\n\nE3FP [1]_ is a 3D molecular fingerprinting method inspired by Extended\nConnectivity FingerPrints (ECFP) [2]_, integrating tightly with the RDKit_.\n\nDocumentation is hosted by ReadTheDocs_, and development occurs on GitHub_.\n\nInstallation and Usage\n----------------------\n\nFor installation and usage instructions, see the\n`documentation <http://e3fp.readthedocs.io>`__.\n\nSee the E3FP `paper repository`_ for an application of E3FP and all code used\nfor the E3FP paper [1]_.\n\nLicense\n-------\n\nE3FP is available under the `GNU Lesser General Public License version 3.0\n<https://www.gnu.org/licenses/lgpl.html>`_ (LGPLv3). See the\n`documentation <http://e3fp.readthedocs.io/en/latest/overview.html#license>`__\nfor more details.\n\n\nReferences\n----------\n\n.. [1] |axen2017|\n.. [2] |rogers2010|\n\n.. substitutions\n\n.. _RDKit: http://www.rdkit.org\n.. _GitHub: https://github.com/keiserlab/e3fp\n.. _paper repository: https://github.com/keiserlab/e3fp-paper\n.. _ReadTheDocs: http://e3fp.readthedocs.io\n.. |axen2017_doi| image:: https://img.shields.io/badge/doi-10.1021/acs.jmedchem.7b00696-blue.svg\n :target: http://dx.doi.org/10.1021/acs.jmedchem.7b00696\n :alt: Access the paper\n.. |axen2017| replace:: Axen SD, Huang XP, Caceres EL, Gendelev L, Roth BL, Keiser MJ. A Simple Representation Of Three-Dimensional Molecular Structure. *J. Med. Chem.* **60** (17): 7393\u20137409 (2017). |axen2017_doi| |bioRxiv|\n.. |rogers2010_doi| image:: https://img.shields.io/badge/doi-10.1021/ci100050t-blue.svg\n :target: http://dx.doi.org/10.1021/ci100050t\n :alt: Access the paper\n.. |rogers2010| replace:: Rogers D & Hahn M. Extended-connectivity fingerprints. *J. Chem. Inf. Model.* **50**: 742-54 (2010). |rogers2010_doi|\n.. |CI Status| image:: https://github.com/keiserlab/e3fp/workflows/CI/badge.svg?branch=master\n :target: https://github.com/keiserlab/e3fp/actions?query=workflow%3ACI\n :alt: CI Status\n.. |Docs Status| image:: http://readthedocs.org/projects/e3fp/badge/?version=latest\n :target: http://e3fp.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n.. |Codecov Status| image:: https://codecov.io/github/keiserlab/e3fp/coverage.svg?branch=master\n :target: https://codecov.io/github/keiserlab/e3fp?branch=master\n :alt: Code Coverage\n.. |PyPi Version| image:: https://img.shields.io/pypi/v/e3fp.svg\n :target: https://pypi.python.org/pypi/e3fp\n :alt: Package on PyPi\n.. |Conda Version| image:: https://img.shields.io/conda/v/conda-forge/e3fp.svg\n :target: https://anaconda.org/conda-forge/e3fp\n :alt: Package on Anaconda\n.. |License| image:: https://img.shields.io/badge/license-LGPLv3-blue.svg\n :target: https://github.com/keiserlab/e3fp/blob/master/LICENSE.txt\n.. |bioRxiv| image:: https://img.shields.io/badge/bioRxiv-136705-blue.svg\n :target: https://doi.org/10.1101/136705\n :alt: Access the preprint on bioRxiv\n\n",
"bugtrack_url": null,
"license": null,
"summary": "Molecular 3D fingerprinting",
"version": "1.2.6",
"project_urls": {
"Download": "https://github.com/keiserlab/e3fp/tarball/{version}",
"Homepage": "https://github.com/keiserlab/e3fp"
},
"split_keywords": [
"e3fp",
" 3d",
" molecule",
" fingerprint",
" conformer"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "b59742c18de678ae2437d95289a9fbd93afd38b6678958098354cd1ed7aa6e80",
"md5": "9978832323242159238663bbcec8aa1d",
"sha256": "f97103b7bb70bcdbd6804071cfa6b057a0b1a2c5e16670badd8b781757e2e5a0"
},
"downloads": -1,
"filename": "e3fp-1.2.6-py3-none-any.whl",
"has_sig": false,
"md5_digest": "9978832323242159238663bbcec8aa1d",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.13,>=3.9",
"size": 64047,
"upload_time": "2024-11-21T20:29:19",
"upload_time_iso_8601": "2024-11-21T20:29:19.509391Z",
"url": "https://files.pythonhosted.org/packages/b5/97/42c18de678ae2437d95289a9fbd93afd38b6678958098354cd1ed7aa6e80/e3fp-1.2.6-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "4eaf160ef3325339ab3163d7103a917e239dbebc5671e5cb9d7b7cb8445cddf8",
"md5": "0c94f9ad8fb634d8b07a8a6864be03d0",
"sha256": "c3d754943b45065a6288f89c2034dfe211c7de145b14ef35109cbadc028187e4"
},
"downloads": -1,
"filename": "e3fp-1.2.6.tar.gz",
"has_sig": false,
"md5_digest": "0c94f9ad8fb634d8b07a8a6864be03d0",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.13,>=3.9",
"size": 56600,
"upload_time": "2024-11-21T20:29:20",
"upload_time_iso_8601": "2024-11-21T20:29:20.710252Z",
"url": "https://files.pythonhosted.org/packages/4e/af/160ef3325339ab3163d7103a917e239dbebc5671e5cb9d7b7cb8445cddf8/e3fp-1.2.6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-21 20:29:20",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "keiserlab",
"github_project": "e3fp",
"travis_ci": false,
"coveralls": true,
"github_actions": true,
"lcname": "e3fp"
}