Protein & Peptide Letters

Author(s): Rajani R. Joshi

DOI: 10.2174/0929866013409418

EPITOPE-PARATOPE RECOGNITION BY KNOWLEDGE BASED CORRELATION MAPPING USING HOPFIELD NETWORK

Page: [257 - 264] Pages: 8

  • * (Excluding Mailing and Handling)

Abstract

The knowledge based correlation mapping (KBCM) is devised here as a unified measure of the information on antigen-antibody complexes available in the Protein Data Banks. This mapping is estimated from a random training sample using a Hopfield Network while representing the epitope and paratope in a complex as 3-dimensional attributed graphs. Identification of paratopes on immunoglobulins against given epitopes is carried out using pattern matching on Hopfield Network with the help of the KBCM.

Keywords: EPITOPE-PARATOPE, knowledge based correlation mapping (KBCM), Epitope, Paratope, immunoglobulins