AbAgIntPre: A deep learning method for predicting antibody-antigen interactions based on sequence information.

Journal: Frontiers in immunology
Published Date:

Abstract

INTRODUCTION: Antibody-mediated immunity is an essential part of the immune system in vertebrates. The ability to specifically bind to antigens allows antibodies to be widely used in the therapy of cancers and other critical diseases. A key step in antibody therapeutics is the experimental identification of antibody-antigen interactions, which is generally time-consuming, costly, and laborious. Although some computational methods have been proposed to screen potential antibodies, the dependence on 3D structures still limits the application of these methods.

Authors

  • Yan Huang
    Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX.
  • Ziding Zhang
    State Key Laboratory of Agrobiotechnology, College of Biological Sciences , China Agricultural University , Beijing 100193 , China.
  • Yuan Zhou
    Department of Pharmacy, Taihe Hospital, Hubei University of Medicine, Shiyan, China.