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Epitope-paratope recognition by knowledge based correlation mapping using Hopfield network

DSpace at IIT Bombay

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Title Epitope-paratope recognition by knowledge based correlation mapping using Hopfield network
 
Creator JOSHI, RR
 
Subject antibody
 
Description 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.
 
Publisher BENTHAM SCIENCE PUBL LTD
 
Date 2011-07-18T23:48:51Z
2011-12-26T12:50:53Z
2011-12-27T05:37:04Z
2011-07-18T23:48:51Z
2011-12-26T12:50:53Z
2011-12-27T05:37:04Z
2001
 
Type Article
 
Identifier PROTEIN AND PEPTIDE LETTERS, 8(4), 257-264
0929-8665
http://dx.doi.org/10.2174/0929866013409418
http://dspace.library.iitb.ac.in/xmlui/handle/10054/5106
http://hdl.handle.net/10054/5106
 
Language en