RaCoon

Schneidman Lab Home PatchDock SymmDock Nanonet FoldDock RhoMax RaCoon CLIPepPI EAGLE New SABLE New PathwayAtlas New

Our computational cluster is scheduled to undergo maintenance on 5th October - please plan accordingly.

Help Web server PP3/BP4 evidence strengths

Input

Note: Enter a valid sequence by selecting Sequence as input type (default) and a valid mutation e.g L540M
Note: Or select CSV File as the input type and upload a csv file containing a list of (mutant, protein_sequence) and optionally an index column. Header row must match mutant,protein_sequence.
Note: We assume mutations are starting from offset 1

Input type:

Sequence:

Mutation:

Enter your email address:

Citation: If you use RaCoon, please cite: Passi, G., Amittai, S., & Schneidman-Duhovny, D. (2025). Calibrated variant effect prediction at the residue level using conditional score distributions. bioRxiv.

Contact: gal.passi@mail.huji.ac.il

Acknowledgement: We are grateful for the support of the Center for Interdisciplinary Data Science Research (CIDR) at the Hebrew University of Jerusalem. In particular, we would like to thank Haimasree Bhattacharya from CIDR for her contributions