Literature DB >> 17434469

Bioinformatics applied to allergy: allergen databases, from collecting sequence information to data integration. The Allergome platform as a model.

Adriano Mari1, Enrico Scala, Paola Palazzo, Stefano Ridolfi, Danila Zennaro, Gabriele Carabella.   

Abstract

Allergens are proteins or glycoproteins that are recognized by IgE produced by the immune system of allergic individuals. Until now around 1,500 allergenic structures have been identified and this number seems not have reached a plateau after 3-4 decades of research and the advent of molecular biology. Several allergen databases are available on Internet. Different aims and philosophies lead to different products. Here we report about main feature of web sites dedicated to allergens and we describe in more details our current work on the Allergome platform. The web server Allergome (www.allergome.org) represent a free independent open resource whose goal is to provide an exhaustive repository of data related to all the IgE-binding compounds. The main purpose of Allergome is to collect a list of allergenic sources and molecules by using the widest selection criteria and sources. A further development of the Allergome platform has been represented by the Real Time Monitoring of IgE sensitization module (ReTiME) that allows uploading of raw data from both in vivo and in vitro testing, thus representing the first attempt to have IT applied to allergy data mining. More recently, a new module (RefArray) representing a tool for literature mining has been released.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17434469     DOI: 10.1016/j.cellimm.2007.02.012

Source DB:  PubMed          Journal:  Cell Immunol        ISSN: 0008-8749            Impact factor:   4.868


  21 in total

Review 1.  Immunoinformatics: an integrated scenario.

Authors:  Namrata Tomar; Rajat K De
Journal:  Immunology       Date:  2010-08-16       Impact factor: 7.397

2.  Origin and Functional Prediction of Pollen Allergens in Plants.

Authors:  Miaolin Chen; Jie Xu; Deborah Devis; Jianxin Shi; Kang Ren; Iain Searle; Dabing Zhang
Journal:  Plant Physiol       Date:  2016-07-19       Impact factor: 8.340

3.  AllerML: markup language for allergens.

Authors:  Ovidiu Ivanciuc; Steven M Gendel; Trevor D Power; Catherine H Schein; Werner Braun
Journal:  Regul Toxicol Pharmacol       Date:  2011-03-21       Impact factor: 3.271

Review 4.  Allergen databases: current status and perspectives.

Authors:  Adriano Mari; Chiara Rasi; Paola Palazzo; Enrico Scala
Journal:  Curr Allergy Asthma Rep       Date:  2009-09       Impact factor: 4.806

5.  Cross-React: a new structural bioinformatics method for predicting allergen cross-reactivity.

Authors:  Surendra S Negi; Werner Braun
Journal:  Bioinformatics       Date:  2017-04-01       Impact factor: 6.937

6.  Transient dimers of allergens.

Authors:  Juha Rouvinen; Janne Jänis; Marja-Leena Laukkanen; Sirpa Jylhä; Merja Niemi; Tero Päivinen; Soili Mäkinen-Kiljunen; Tari Haahtela; Hans Söderlund; Kristiina Takkinen
Journal:  PLoS One       Date:  2010-02-05       Impact factor: 3.240

Review 7.  Alternaria alternata and its allergens: a comprehensive review.

Authors:  Irena Kustrzeba-Wójcicka; Emilia Siwak; Grzegorz Terlecki; Anna Wolańczyk-Mędrala; Wojciech Mędrala
Journal:  Clin Rev Allergy Immunol       Date:  2014-12       Impact factor: 8.667

8.  Characterization of expressed sequence tags from a full-length enriched cDNA library of Cryptomeria japonica male strobili.

Authors:  Norihiro Futamura; Yasushi Totoki; Atsushi Toyoda; Tomohiro Igasaki; Tokihiko Nanjo; Motoaki Seki; Yoshiyuki Sakaki; Adriano Mari; Kazuo Shinozaki; Kenji Shinohara
Journal:  BMC Genomics       Date:  2008-08-11       Impact factor: 3.969

Review 9.  Fish allergens at a glance: variable allergenicity of parvalbumins, the major fish allergens.

Authors:  Annette Kuehn; Ines Swoboda; Karthik Arumugam; Christiane Hilger; François Hentges
Journal:  Front Immunol       Date:  2014-04-22       Impact factor: 7.561

10.  A database for allergenic proteins and tools for allergenicity prediction.

Authors:  ChangKug Kim; SooJin Kwon; GangSeob Lee; HwanKi Lee; JiWeon Choi; YongHwan Kim; JangHo Hahn
Journal:  Bioinformation       Date:  2009-04-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.