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

[ Vol. 8 , Issue. 4 ]

Author(s):

Rajani R. Joshi   Pages 257 - 264 ( 8 )

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

Affiliation:

School of Biomedical Engineering and Department of MathematicsIndian Institute of Technology Bombay, Powai, Mumbai: 400076 India



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