Herein, a webserver for our proposed model DeepAR, has been constructed to provide the scientific community with a practical tool that can be widely used for performing high-throughput identification of AR antagonists in an economic manner. Precisely, the chemical compound of interest is input as a SMILES notation into the DeepAR webserver after which, the prediction results are attained.

A step-by-step guideline on the usage of the webserver is available for access at http://pmlabstack.pythonanywhere.com/about_DeepAR. This user-friendly web server is available at http://pmlabstack.pythonanywhere.com/DeepAR.