The original KFC Server (Knowledge-based FADE and Contacts) predicted binding "hot spots" within protein-protein interfaces by recognizing structural features indicative of important binding contacts. The server analyzed several chemical and physical features surrounding an interface residue and predicted the classification of the residue using a model trained on prior experimental data.

The KFC2 Server still maintains the option to run the original KFC method. You will notice an additional button near the "submit" button which allows you to choose the old version. Presently, nucleic acid chains are not handled with the new KFC2 method. While work in this area is under way, submissions of interfaces involving nucleic acid chains will automatically be run using the original KFC method.

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.
        Proteins, 68(4): 813-823, 2007.
        View Abstract
        X. Zhu, and J. C. Mitchell
        KFC2: A knowledge-based hot spot prediction method based on interface solvation,
        atomic density and plasticity features.
        Proteins, 79(9): 2671-2683, 2011.
        View Abstract