Metadata-Version: 2.4
Name: ssbtoolkit
Version: 1.0.10
Summary: Simulation of methematical models of signaling pathways of GPCRs
Author: Rui Ribeiro
Author-email: <rui.ribeiro@univr.it>
Keywords: python,bioinformatics,Systems Biology,GPCR
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: sympy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: plotly
Requires-Dist: scikit-learn
Requires-Dist: db-sqlite3
Requires-Dist: seaborn
Requires-Dist: pubchempy
Requires-Dist: biopython
Requires-Dist: pysb
Requires-Dist: bionetgen
Requires-Dist: bioservices
Requires-Dist: qgrid==1.3.0
Requires-Dist: kaleido
Requires-Dist: cython
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Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: keywords
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The SSB computational toolkit was developed to easily predict classical pharmacodynamic models of drug-GPCR (class A) interactions given just as input structural information of the receptor and the ligand.
