gaudi

GaudiMM: A modular optimization platform for molecular design

https://github.com/insilichem/gaudi

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
    Links to: wiley.com
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.2%) to scientific vocabulary

Keywords

computational-chemistry genetic-algorithm molecular-design protein-ligand-docking
Last synced: 6 months ago · JSON representation ·

Repository

GaudiMM: A modular optimization platform for molecular design

Basic Info
  • Host: GitHub
  • Owner: insilichem
  • License: lgpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage: http://gaudi.readthedocs.io
  • Size: 3.73 MB
Statistics
  • Stars: 32
  • Watchers: 6
  • Forks: 14
  • Open Issues: 7
  • Releases: 3
Topics
computational-chemistry genetic-algorithm molecular-design protein-ligand-docking
Created almost 9 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.rst

.. GaudiMM: Genetic Algorithms with Unrestricted
   Descriptors for Intuitive Molecular Modeling

   https://github.com/insilichem/gaudi

   Copyright 2017 Jaime Rodriguez-Guerra, Jean-Didier Marechal

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

        http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.


GaudiMM
=======

.. image:: https://travis-ci.org/insilichem/gaudi.svg?branch=master
    :target: https://travis-ci.org/insilichem/gaudi

.. image:: https://readthedocs.org/projects/gaudi/badge/?version=latest
    :target: http://gaudi.readthedocs.io/en/latest/

.. image:: https://anaconda.org/insilichem/gaudi/badges/installer/conda.svg
    :target: https://conda.anaconda.org/insilichem/gaudi

.. image:: https://img.shields.io/badge/doi-10.1002%2Fjcc.24847-blue.svg
    :target: http://onlinelibrary.wiley.com/doi/10.1002/jcc.24847/full

GaudiMM, for Genetic Algorithms with Unrestricted Descriptors for Intuitive Molecular Modeling,
helps to sketch new molecular designs that require complex interactions.

.. image:: docs/data/gaudimm-logo-whitebg.jpg
    :alt: GaudiMM logo

Features
--------

**Full multi-objective optimization**

- Feel free to optimize H bonds, hydrophobic interactions, desolvation effects, distances between given sets of atoms, rotamers and more, without compromises.

**Unprecedented customizability**

- Every gene and objective is a separate module, so they can be called on demand one or more times. This flexible approach allows very different calculations with the same mindset: exploration and evaluation.

**Developer friendly**

- If the provided genes and objectives are not enough, you can always code your own ones. Check out the `developer docs `_!


Documentation and support
-------------------------

Documentation source is available in ``docs/`` subdirectory, and also compiled as HTML at `this webpage `_.

If you need help with GaudiMM, please use the `issues page `_ of our `GitHub repo `_. You can drop me a message at `jaime.rodriguezguerra@uab.cat `_ too.

License
-------

GaudiMM is licensed under the GNU Lesser General Public License version 3. Check the details in the `LICENSE `_ file.

Citation
--------

GaudiMM is scientific software, funded by public research grants (Spanish MINECO's project ``CTQ2014-54071-P``, Generalitat de Catalunya's project ``2014SGR989`` and research grant ``2015FI_B00768``, COST Action ``CM1306``). If you make use of GaudiMM in scientific publications, please cite `our article in JCC `_. It will help measure the impact of our research and future funding!

.. code-block:: latex

    @article {JCC:JCC24847,
        author = {Rodríguez-Guerra Pedregal, Jaime and Sciortino, Giuseppe and Guasp, Jordi and Municoy, Martí and Maréchal, Jean-Didier},
        title = {GaudiMM: A modular multi-objective platform for molecular modeling},
        journal = {Journal of Computational Chemistry},
        volume = {38},
        number = {24},
        issn = {1096-987X},
        url = {http://dx.doi.org/10.1002/jcc.24847},
        doi = {10.1002/jcc.24847},
        pages = {2118--2126},
        keywords = {molecular modeling, protein-ligand docking, multi-objective optimization, genetic algorithms, metallopeptides},
        year = {2017},
    }

Owner

  • Name: InsiliChem
  • Login: insilichem
  • Kind: organization
  • Email: info@insilichem.com
  • Location: Universitat Autònoma de Barcelona, Spain

Computational solutions for chemobiotechnology

Citation (CITATION.rst)

.. GaudiMM: Genetic Algorithms with Unrestricted
   Descriptors for Intuitive Molecular Modeling
   
   https://github.com/insilichem/gaudi
  
   Copyright 2017 Jaime Rodriguez-Guerra, Jean-Didier Marechal
   
   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at
   
        http://www.apache.org/licenses/LICENSE-2.0
   
   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.


How to cite this software
=========================

GaudiMM is scientific software, funded by public research grants (Spanish MINECO's project ``CTQ2014-54071-P``, Generalitat de Catalunya's project ``2014SGR989`` and research grant ``2015FI_B00768``, COST Action ``CM1306``). If you make use of GaudiMM in scientific publications, please cite `our article in JCC <http://onlinelibrary.wiley.com/doi/10.1002/jcc.24847/full>`_. It will help measure the impact of our research and future funding!

.. code-block:: latex

    @article {JCC:JCC24847,
        author = {Rodríguez-Guerra Pedregal, Jaime and Sciortino, Giuseppe and Guasp, Jordi and Municoy, Martí and Maréchal, Jean-Didier},
        title = {GaudiMM: A modular multi-objective platform for molecular modeling},
        journal = {Journal of Computational Chemistry},
        volume = {38},
        number = {24},
        issn = {1096-987X},
        url = {http://dx.doi.org/10.1002/jcc.24847},
        doi = {10.1002/jcc.24847},
        pages = {2118--2126},
        keywords = {molecular modeling, protein-ligand docking, multi-objective optimization, genetic algorithms, metallopeptides},
        year = {2017},
    }

GitHub Events

Total
Last Year

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 756
  • Total Committers: 5
  • Avg Commits per committer: 151.2
  • Development Distribution Score (DDS): 0.099
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jaime RG j****e@g****m 681
José Emilio Sánchez Aparicio j****z@u****t 41
Jordi Guasp j****p@e****t 31
Giuseppe Sciortino g****o@u****t 2
Jaime Rodriguez j****l@v****s 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 8
  • Total pull requests: 23
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 8 months
  • Total issue authors: 4
  • Total pull request authors: 2
  • Average comments per issue: 3.13
  • Average comments per pull request: 0.91
  • Merged pull requests: 16
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jaimergp (4)
  • UnixJunkie (2)
  • MerAle (1)
  • zentyz (1)
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  • josan82 (17)
  • jaimergp (8)
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