Allergy diagnosis and prediction by common allergenic structures

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Projektnummer

8803.1;5 LSPP-LS

Projekttitel

Allergy diagnosis and prediction by common allergenic structures

Projekttitel Englisch

Allergy diagnosis and prediction by common allergenic structures

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Kurzbeschreibung	-	-	-
Abstract	-	-	-

Erfasste Texte

Kategorie	Text
Kurzbeschreibung (Englisch)	Allergy diagnosis and prediction by common allergenic structures
Abstract (Englisch)	Today, in vitro allergy diagnosis is based on allergen extracts. We have shown that more than 90% of all known allergens can be associated with less than 80 structural motifs. Thus, it is intended to develop a new diagnostic tool based on these allergenic structures rather than a great and ever increasing number of individual proteins (allergens) or extracts from organisms with allergenic properties. Such a new tool will consist of an array system (either recombinant proteins or allergenic motifs) and a software predicting potentially cross reacting allergens. This may lead to a change in paradigm as general practitioners may be in the position to perform a better allergy diagnosis and patients will receive more information on their allergic state.

Kategorie

Text

Kurzbeschreibung
(Englisch)

Allergy diagnosis and prediction by common allergenic structures

Abstract
(Englisch)

Today, in vitro allergy diagnosis is based on allergen extracts. We have shown that more than 90% of all known allergens can be associated with less than 80 structural motifs. Thus, it is intended to develop a new diagnostic tool based on these allergenic structures rather than a great and ever increasing number of individual proteins (allergens) or extracts from organisms with allergenic properties. Such a new tool will consist of an array system (either recombinant proteins or allergenic motifs) and a software predicting potentially cross reacting allergens. This may lead to a change in paradigm as general practitioners may be in the position to perform a better allergy diagnosis and patients will receive more information on their allergic state.