Prediction and analysis of vaccination possibilities in autoimmune diseases: An application of artificial immune system
DSpace at IIT Bombay
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Title |
Prediction and analysis of vaccination possibilities in autoimmune diseases: An application of artificial immune system
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Creator |
JOSHI, RR
NATARAJAN, B |
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Subject |
lupus-erythematosus
network model artificial immune system machine learning autoimmunity adaptive affinity maturation |
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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.
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Publisher |
WORLD SCIENTIFIC PUBL CO PTE LTD
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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 |
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Type |
Article
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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 |
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Language |
en
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