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

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

Author(s): Rajani R. Joshi.

Journal Name: Protein & Peptide Letters

Volume 8 , Issue 4 , 2001

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

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Article Details

VOLUME: 8
ISSUE: 4
Year: 2001
Page: [257 - 264]
Pages: 8
DOI: 10.2174/0929866013409418
Price: $58

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