Table 2.

List of software and packages that implements an automated QSAR modeling workflow

Software/tool	Description	URL	Refs.
Standalone and online applications
AZOrange	Graphical programming environment based on the Python package “Orange” for performing QSAR modeling workflow	https://github.com/AZcompTox/AZOrange/	[255]
AutoQSAR	Automated machine learning tool for QSAR modeling using best practice guidelines	https://www.schrodinger.com/autoqsar/	[256]
AutoWeka	Automated data mining software for QSAR modeling based on the machine learning software Weka	https://www.mt.mahidol.ac.th/autoweka/	[257]
ChemSAR	Online platform for QSAR modeling that is capable of handling chemical structures, computing molecular descriptors, model building as well as producing result plots	http://chemsar.scbdd.com/	[260]
Tools implemented in R language
camb	R package that is capable of handling chemical structures, compute descriptors and build QSAR models	https://github.com/cambDI/camb/	[262]
Ezqsar	R package for building QSAR models	https://github.com/enanomapper/RRegrs/	[263]
RRegrs	R package for building multiple regression models using pre-configured and customizable workflow	https://github.com/enanomapper/RRegrs/	[261]