Table 2 List of software and packages that implements an automated QSAR modeling workflow

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]