This computationally intensive service is provided to the research community
free of charge utilizing our computational resources, which are limited.
To ensure the fair use of this server, we ask that no person submits more than ten simulation
requests per day. We reserve the right to block access from those not honoring this request or
involved in any other misuse of this service.
The simulation requests will be queued and the wait time will vary depending on the
load of our cluster.
This is research software under active development, and we make no guarantees regarding
the accuracy of its predictions. The results of simulations are provided AS IS,
and should be used at your own risk.
We do not warrant or assume any liability or responsibility for the accuracy, completeness,
or usefulness of any information provided on this server.
Send questions or comments to
gramm@ku.edu.
GRAMM web-server should be cited as:
Singh, A., Copeland, M.M., Kundrotas, P.J., Vakser, I.A., 2024, GRAMM Web Server for Protein Docking, Methods in Mol. Biol., 2714:101-112.Other GRAMM docking references:
Singh A., Dauzhenka T., Kundrotas P.J., Sternberg M.J.E., Vakser I.A.. 2020, Application of docking methodologies to modeled proteins, Proteins, 88:1180–88.