BiteNet is a computational approach for the large-scale detection of 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.
Currently, there are three models available: i) protein-small molecule, ii) protein-peptide, and iii) nucleic acid-small molecule binding sites. Select one to use below (otherwise, the protein-small molecule model will be used).
If you use BiteNet please cite: