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long_description = "\n" + fh.read() | ||
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VERSION = 'v0.1.0' | ||
DESCRIPTION = 'PyPharmer' | ||
DESCRIPTION = 'This library was developed to generate concensus pharmacophores from large datasets of ligands and ligand-protein complexes.' | ||
#LONG_DESCRIPTION = '' | ||
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# Setting up | ||
setup( | ||
name="MicrobeRX", | ||
name="conphar", | ||
version=VERSION, | ||
author="Angel J. Ruiz-Moreno", | ||
author_email="<[email protected]>", | ||
description=DESCRIPTION, | ||
long_description_content_type="text/markdown", | ||
long_description=long_description, | ||
packages=find_packages(), | ||
install_requires=['pandas', 'plotly','numpy', 'matplotlib', 'seaborn'], | ||
keywords=['python', 'metabolite', 'prediction', 'microbiome', 'cheminformatics', 'metabolism'], | ||
install_requires=['pandas', 'plotly','numpy', 'matplotlib', 'seaborn', 'pymol','scikit-learn'], | ||
keywords=['python', 'pharmacophore', 'drugdesign', 'cheminformatics', 'chemoinformatics', 'protein'], | ||
classifiers=[ | ||
"Development Status :: 1 - Planning", | ||
"Intended Audience :: Science/Research", | ||
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