In response to the insurgence of the CoVID-19 pandemic, research groups around the world invested time and effort to obtain information about the SARS-2 virus and its pathology. Of crucial importance is sharing of data between scientist. With this website we aim to provide a fast, and easy to use tool for researcher to analyze and visualize a library of pre-screened clinically approved drugs and natural compounds. The screenings targeted the human ACE2 protein, whose binding to the viral SARS-CoV-2 spike protein is crucial for viral infection of human cells. Our screenings were done using the virtual screening method smina and our in house deep learning method SSnet. The drugs are organized in a heatmap based on their structural similarity and binding affinity/probability to the protein targes. This clustering, together with affinity scores, will provide immediate information of potential molecular scaffolds and substituents that provide high binding between ligands and ACE2. In addition to the approved compounds, a library on one billion compounds is being processed.
Three datasets of compounds:
Multiple ACE2 structures:
A 2D Hilbert map based on compounds similarity and affinity scoring
Visualization of the docked compounds in ACE