Input structure:
Chains:
(e.g. All / A / A;B / 0:A;1:A;2:A; )
Binding site type: Protein - protein     Protein-antibody     Protein - Disordered protein     Protein - Ubiquitin    
Your e-mail address:
ScanNet predictions will be sent to this address (please check your spam folder).
Job ID:
Optional job name (only alpha-numerical characters)
Show advanced options
Use biological assembly or asymmetric unit file:     Biological assembly     Asymmetric unit    
Predict for individual chains or multiple chains:       Multi-chain                 Single-chain
Use Multiple Sequence Alignment:                         Yes                            No
Webserver in construction (v0.4)
If you use this program, please cite:
Tubiana, J., Schneidman-Duhovny, D., & Wolfson, H. J. (2022). ScanNet: An interpretable geometric deep learning model for structure-based protein binding site prediction. Nature Methods
Tubiana, J., Schneidman-Duhovny, D., & Wolfson, H. J. (2022). ScanNet: A web server for structure-based prediction of protein binding sites with geometric deep learning. Journal of Molecular Biology