Antibody interface prediction with 3D Zernike descriptors and SVM.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: Antibodies are a class of proteins capable of specifically recognizing and binding to a virtually infinite number of antigens. This binding malleability makes them the most valuable category of biopharmaceuticals for both diagnostic and therapeutic applications. The correct identification of the antigen-binding residues in the antibody is crucial for all antibody design and engineering techniques and could also help to understand the complex antigen binding mechanisms. However, the antibody-binding interface prediction field appears to be still rather underdeveloped.

Authors

  • Sebastian Daberdaku
    Department of Information Engineering, University of Padova, via Gradenigo 6/A, Padova, 35131, Italy. sebastian.daberdaku@dei.unipd.it.
  • Carlo Ferrari
    Department of Information Engineering, University of Padova, via Gradenigo 6/A, Padova, 35131, Italy.