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Prediction and analysis of vaccination possibilities in autoimmune diseases: An application of artificial immune system

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Title Prediction and analysis of vaccination possibilities in autoimmune diseases: An application of artificial immune system
 
Creator JOSHI, RR
NATARAJAN, B
 
Subject lupus-erythematosus
network
model
artificial immune system
machine learning
autoimmunity
adaptive affinity maturation
 
Description We present an adaptive machine learning model of the humoral immune response. Antigens (epitopes/ids) and antibodies (paratopes/anti-ids) are represented here as sequences of single letter amino acid codes. The model effectively simulates dynamic affinity maturation, memory and associativity. Specific age-function is derived here based on recent experimental findings and is used to incorporate self and non-self antigens. Computational experiments using real data on Type-1 Diabetes and Systemic Lupus Erythematosus offer quantitative elucidation of autoimmunity. The results also provide applications towards vaccine design and possible solution to the therapeutic difficulties in the autoimmune diseases and disorders of the above kind.
 
Publisher WORLD SCIENTIFIC PUBL CO PTE LTD
 
Date 2011-09-02T01:51:21Z
2011-12-26T12:59:54Z
2011-12-27T05:53:02Z
2011-09-02T01:51:21Z
2011-12-26T12:59:54Z
2011-12-27T05:53:02Z
2002
 
Type Article
 
Identifier JOURNAL OF BIOLOGICAL SYSTEMS, 10(2), 107-126
0218-3390
http://dx.doi.org/10.1142/S0218339002000536
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12933
http://hdl.handle.net/10054/12933
 
Language en