Biochemistry, Biophysics and Molecular Biology, Roy J. Carver Department of, Baker Center for Bioinformatics and Biological Statistics
Journal or Book Title
Knowledge-based potentials have been widely used in the last 20 years for fold recognition, protein structure prediction from amino acid sequence, ligand binding, protein design, and many other purposes. However generally these are not readily accessible online.
Our new knowledge-based potential server makes available many of these potentials for easy use to automatically compute the energies of protein structures or models supplied. Our web server for protein energy estimation uses four-body potentials, short-range potentials, and 23 different two-body potentials. Users can select potentials according to their needs and preferences. Files containing the coordinates of protein atoms in the PDB format can be uploaded as input. The results will be returned to the user's email address.
Our Potentials 'R'Us server is an easily accessible, freely available tool with a web interface that collects all existing and future protein coarse-grained potentials and computes energies of multiple structural models.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Feng et al
Feng, Yaping; Kloczkowski, Andrzej; and Jernigan, Robert L., "Potentials 'R'Us web-server for protein energy estimations with coarse-grained knowledge-based potentials" (2010). Biochemistry, Biophysics and Molecular Biology Publications. 156.