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ChemLG is a smart and massive parallel molecular library generator for chemical and materials sciences.

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ChemLG – A Molecular and Materials Library Generator for the Enumeration and Exploration of Chemical Space

ChemLG is a smart and massive parallel molecular library generator for chemical and materials sciences.

Program Version: 0.9

Release Date: Aug 20, 2020

With contributions by: Gaurav Vishwakarma (UB): Genetic Algorithm, Code Redesign and Maintenance Janhavi Abhay Dudwadkar (UB): Jupyter GUI

Code Design:

ChemLG is developed in the Python 3 programming language. The development follows a strictly modular and object-oriented design to make the overall code as flexible and versatile as possible.

Documentation:

ChemLG documentation can be found here https://chemlg.readthedocs.io/en/latest/

Installation and Dependencies:

The dependencies for ChemLG are OpenBabel 3.0 and MPI4Py. It is recommended that these two dependencies are installed in a virtual environment prior to installing ChemLG. We suggest the following conda installations:

conda create --name my_chemlg_env python=3.6
source activate my_chemlg_env
conda install -c conda-forge openbabel
conda install -c anaconda mpi4py
pip install chemlg

Citation:

Please cite the use of ChemLG as:

(1) Afzal, M. A. F.; Vishwakarma, G.; Dudwadkar, J. A.;Haghighatlari, M.; Hachmann, J. ChemLG– A Library Generator for the Exploration and Enumeration of Chemical and Materials Spaces. 2019; https://github.com/hachmannlab/chemlg
(2) M.A.F. Afzal, G. Vishwakarma, J. Hachmann, ChemLG – A Molecular and Materials Library Generator for the Enumeration and Exploration of Chemical Space. Available from: https://hachmannlab.github.io/chemlg. 
(3) J. Hachmann, M.A.F. Afzal, M. Haghighatlari, Y. Pal, Building and Deploying a Cyberinfrastructure for the Data-Driven Design of Chemical Systems and the Exploration of Chemical Space, Mol. Simul. 44 (2018), 921-929. DOI: 10.1080/08927022.2018.1471692

Acknowledgement

ChemLG is based upon work supported by the U.S. National Science Foundation under grant #OAC-1751161. It was also supported by start-up funds provided by UB's School of Engineering and Applied Science and UB's Department of Chemical and Biological Engineering, the New York State Center of Excellence in Materials Informatics through seed grant #1140384-8-75163, and the U.S. Department of Energy under grant #DE-SC0017193.

License and Copyright:

ChemLG is copyright (C) 2015-2020 Johannes Hachmann and Mohammad Atif Faiz Afzal, all rights reserved. ChemLG is distributed under 3-Clause BSD License (https://opensource.org/licenses/BSD-3-Clause).

University at Buffalo - The State University of New York (UB) Contact: [email protected], [email protected] http://hachmannlab.cbe.buffalo.edu

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