Nomenclature and structural biology of allergens

Chapman, Martin D.; Pomés, Anna; Breiteneder, Heimo; Ferreira, Fátima

doi:10.1016/j.jaci.2006.11.001

Cited by 247 publications

(197 citation statements)

References 43 publications

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“…On the other hand, no cross-reactivity was found in pollen extracts from Lolium perenne and Phragmites communis. Allergens were described using the first three letters of the genus, followed by a single letter for the species and an Arabic numeral to indicate the chronological order of allergen purification (Chapman et al, 2007).…”

Section: Transmission Electron Microscopymentioning

confidence: 99%

An approach to the knowledge of pollen and allergen diversity through lipid transfer protein localisation in taxonomically distant pollen grains

Suárez‐Cervera

Vega-Maray

Castells

et al. 2008

Grana

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Section: Transmission Electron Microscopymentioning

confidence: 99%

An approach to the knowledge of pollen and allergen diversity through lipid transfer protein localisation in taxonomically distant pollen grains

Suárez‐Cervera

Vega-Maray

Castells

et al. 2008

Grana

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“…House dust mites are a significant source of indoor allergens, which are associated strongly with extrinsic asthma (1). More than 20 allergen groups have been characterized from dust mites with varying levels of patient response (2). An important group is the group 5 allergens from dust mites, which elicit strong IgE binding in about 30% of mite-allergic patients (3).…”

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confidence: 99%

Der p 5 Crystal Structure Provides Insight into the Group 5 Dust Mite Allergens

Mueller

Gosavi

Krahn

et al. 2010

Journal of Biological Chemistry

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Group 5 allergens from house dust mites elicit strong IgE antibody binding in mite-allergic patients. The structure of Der p 5 was determined by x-ray crystallography to better understand the IgE epitopes, to investigate the biologic function in mites, and to compare with the conflicting published Blo t 5 structures, designated 2JMH and 2JRK in the Protein Data Bank. Der p 5 is a three-helical bundle similar to Blo t 5, but the interactions of the helices are more similar to 2JMH than 2JRK. The crystallographic asymmetric unit contains three dimers of Der p 5 that are not exactly alike. Solution scattering techniques were used to assess the multimeric state of Der p 5 in vitro and showed that the predominant state was monomeric, similar to Blo t 5, but larger multimeric species are also present. In the crystal, the formation of the Der p 5 dimer creates a large hydrophobic cavity of ϳ3000 Å 3 that could be a ligand-binding site. Many allergens are known to bind hydrophobic ligands, which are thought to stimulate the innate immune system and have adjuvant-like effects on IgE-mediated inflammatory responses.

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“…The IUIS Allergen Nomenclature Sub-Committee, under the auspices of the WHO, provides the systematic nomenclature of allergenic proteins and it has developed and maintained Allergen database [35,36]. The database archives all of the WHO/IUIS-recognized allergens along with their isoallergens and isoforms (variants).…”

Section: Iuis Allergen Databasementioning

confidence: 99%

Databases and Algorithms in Allergen Informatics

Kadam¹,

Sawant²,

Jayaraman³

et al. 2016

Bioinformatics - Updated Features and Applications

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Allergic diseases are considered as one of the major health problems worldwide due to their increasing prevalence. Advancements in genomic, proteomic, and analytical techniques have resulted in considerable progress in the field of allergology, which has led to accumulation of huge amount of data. Allergen bioinformatics comprises allergenrelated data resources and computational methods/tools, which deal with an efficient archival, management, and analysis of allergological data. Significant work has been done in the area of allergen bioinformatics that has proven pivotal for the development and progress of this field. In this chapter, we describe the current status of databases and algorithms, encompassing the field of allergen bioinformatics by examining work carried out thus far with respect to features such as allergens and allergenicity, allergen databases, algorithms/tools for allergen/allergenicity prediction, allergen epitope prediction, and allergenic cross-reactivity assessment. This chapter illustrates concepts and algorithms in allergen bioinformatics, as well as it outlines the key areas for potential development in allergology field.

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Nomenclature and structural biology of allergens

Cited by 247 publications

References 43 publications

An approach to the knowledge of pollen and allergen diversity through lipid transfer protein localisation in taxonomically distant pollen grains

An approach to the knowledge of pollen and allergen diversity through lipid transfer protein localisation in taxonomically distant pollen grains

Der p 5 Crystal Structure Provides Insight into the Group 5 Dust Mite Allergens

Databases and Algorithms in Allergen Informatics

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