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

Author: Joshi R.R.

Source: Protein and Peptide Letters, Volume 8, Number 4, August 2001 , pp. 257-264(8)

Publisher: Bentham Science Publishers

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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

Language: English

Document Type: Review article

DOI: 10.2174/0929866013409418

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