BiteNet is a computational approach for the large-scale detection of protein binding sites, that considers protein conformations as the 3D-images, binding sites as the objects on these images to detect, and conformational ensembles of proteins as the 3D-videos to analyze. Particularly, BiteNet is suitable for spatiotemporal detection of hard-to-spot allosteric binding sites.
If you use BiteNet please cite:
Kozlovskii, Igor, and Petr Popov. “Spatiotemporal identification of druggable binding sites using deep learning.”