Record Details

A self-organizing cognitive network of antibody repertoire development

DSpace at IIT Bombay

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Field Value
 
Title A self-organizing cognitive network of antibody repertoire development
 
Creator JOSHI, RR
 
Subject 3-dimensional structure
crystal-structure
antigen complex
immune-system
recognition
antibody shape-space
cognitive networks
immune network model
weight-vectors for probabilistic learning
 
Description A self-organizing cognitive network is mapped here onto the Id network model. The weight-vectors in this network represent some important topographical and biophysical parameters in the antibody-antigen affinity landscape, The Kohonen layers in the network correspond to affinity clones and the involved algorithm simulates the operations of clonal selection, hypermutation, differentiation, diversity, and affinity maturation. Two significant features of this model are: (i) a computationally feasible and biophysically informative representation of the para/epitopes, and (ii) the ability to perform simultaneous (parallel) and associative computations in a multidimensional shape-space, Computational experiments with real data have shown cognitive properties of this network, The results also indicate scope in quantitative characterization of the metadynamics of the above operations/weights in the adaptive development of the antibody repertoire.
 
Publisher MARY ANN LIEBERT INC PUBL
 
Date 2011-08-18T14:11:45Z
2011-12-26T12:55:47Z
2011-12-27T05:42:31Z
2011-08-18T14:11:45Z
2011-12-26T12:55:47Z
2011-12-27T05:42:31Z
1996
 
Type Article
 
Identifier JOURNAL OF COMPUTATIONAL BIOLOGY, 3(4), 529-545
1066-5277
http://dx.doi.org/10.1089/cmb.1996.3.529
http://dspace.library.iitb.ac.in/xmlui/handle/10054/10043
http://hdl.handle.net/10054/10043
 
Language en