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Autoimmunity bioinformatics

From these results, a smaller protein subset containing approximately 50-200 different, purified proteins will be generated and subjected to further qualitative and quantitative on protein biochips. Following bioinformatical analysis, protein antigens will be determined which may be associated with the respective autoimmune disease following confirmation by a second method such as western immunoblotting. [Pg.146]

Bioinformatics and animal models may offer some predictive value in determining the potential for autoimmune reactions (see Section 19.3.3). [Pg.354]

Bioinformatics can play a key role and provide information regarding the potential risk of inducing an autoimmune reaction, within the limits of current knowledge and keeping in mind some skepticism regarding molecular mimicry,... [Pg.355]

Kernebeck T, Lohse A, Grotzinger J. A bioinformatical approach suggests the function of the autoimmune hepatitis target antigen soluble liver antigen/liver pancreas. Hepatology 2001 34 230-3. [Pg.1836]

Petrovsky N, Brusic V. Bioinformatics for study of autoimmunity. Autoimmunity 2006 39(8) 635-643. [Pg.228]


See other pages where Autoimmunity bioinformatics is mentioned: [Pg.145]    [Pg.355]   
See also in sourсe #XX -- [ Pg.355 ]




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