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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/12933

Title: Prediction and analysis of vaccination possibilities in autoimmune diseases: An application of artificial immune system
Authors: JOSHI, RR
NATARAJAN, B
Keywords: lupus-erythematosus
network
model
Issue Date: 2002
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTD
Citation: JOURNAL OF BIOLOGICAL SYSTEMS, 10(2), 107-126
Abstract: 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.
URI: http://dx.doi.org/10.1142/S0218339002000536
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12933
http://hdl.handle.net/10054/12933
ISSN: 0218-3390
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