The KFC Server (Knowledge-based FADE and Contacts)
predicts binding "hot spots" within protein-protein interfaces by recognizing structural features
indicative of important binding contacts. The server analyzes several chemical and physical
features surrounding an interface residue and predicts the classification of the residue using
a model trained on prior experimental data.
The KFC2 Server manual can be found here.
If you use the KFC2 Server, please cite:
S. J. Darnell, D. Page, and J. C. Mitchell
Automated Decision-Tree Approach to Predicting Protein-Protein Interaction Hot Spots.
, 68(4): 813-823, 2007.
X. Zhu, and J. C. Mitchell
KFC2: A knowledge-based hot spot prediction method based on interface solvation,
atomic density and plasticity features.
, 79(9): 2671-2683, 2011.