Literature DB >> 12520022

SDAP: database and computational tools for allergenic proteins.

Ovidiu Ivanciuc1, Catherine H Schein, Werner Braun.   

Abstract

SDAP (Structural Database of Allergenic Proteins) is a web server that provides rapid, cross-referenced access to the sequences, structures and IgE epitopes of allergenic proteins. The SDAP core is a series of CGI scripts that process the user queries, interrogate the database, perform various computations related to protein allergenic determinants and prepare the output HTML pages. The database component of SDAP contains information about the allergen name, source, sequence, structure, IgE epitopes and literature references and easy links to the major protein (PDB, SWISS-PROT/TrEMBL, PIR-ALN, NCBI Taxonomy Browser) and literature (PubMed, MEDLINE) on-line servers. The computational component in SDAP uses an original algorithm based on conserved properties of amino acid side chains to identify regions of known allergens similar to user-supplied peptides or selected from the SDAP database of IgE epitopes. This and other bioinformatics tools can be used to rapidly determine potential cross-reactivities between allergens and to screen novel proteins for the presence of IgE epitopes they may share with known allergens. SDAP is available via the World Wide Web at http://fermi.utmb.edu/SDAP/.

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Year:  2003        PMID: 12520022      PMCID: PMC165457          DOI: 10.1093/nar/gkg010

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  22 in total

1.  Enhanced genome annotation using structural profiles in the program 3D-PSSM.

Authors:  L A Kelley; R M MacCallum; M J Sternberg
Journal:  J Mol Biol       Date:  2000-06-02       Impact factor: 5.469

Review 2.  Structural biology of allergens.

Authors:  R C Aalberse
Journal:  J Allergy Clin Immunol       Date:  2000-08       Impact factor: 10.793

Review 3.  Molecular and biochemical classification of plant-derived food allergens.

Authors:  H Breiteneder; C Ebner
Journal:  J Allergy Clin Immunol       Date:  2000-07       Impact factor: 10.793

4.  Sequence specificity, statistical potentials, and three-dimensional structure prediction with self-correcting distance geometry calculations of beta-sheet formation in proteins.

Authors:  H Zhu; W Braun
Journal:  Protein Sci       Date:  1999-02       Impact factor: 6.725

5.  The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000.

Authors:  A Bairoch; R Apweiler
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

6.  Cockroach allergens and asthma in Brazil: identification of tropomyosin as a major allergen with potential cross-reactivity with mite and shrimp allergens.

Authors:  A B Santos; M D Chapman; R C Aalberse; L D Vailes; V P Ferriani; C Oliver; M C Rizzo; C K Naspitz; L K Arruda
Journal:  J Allergy Clin Immunol       Date:  1999-08       Impact factor: 10.793

Review 7.  Sequence databases for assessing the potential allergenicity of proteins used in transgenic foods.

Authors:  S M Gendel
Journal:  Adv Food Nutr Res       Date:  1998

8.  A cost of illness study of allergic rhinitis in the United States.

Authors:  D C Malone; K A Lawson; D H Smith; H M Arrighi; C Battista
Journal:  J Allergy Clin Immunol       Date:  1997-01       Impact factor: 10.793

9.  Homology modeling and characterization of IgE binding epitopes of mountain cedar allergen Jun a 3.

Authors:  K V Soman; T Midoro-Horiuti; J C Ferreon; R M Goldblum; E G Brooks; A Kurosky; W Braun; C H Schein
Journal:  Biophys J       Date:  2000-09       Impact factor: 4.033

10.  Possible induction of food allergy during mite immunotherapy.

Authors:  R van Ree; L Antonicelli; J H Akkerdaas; M S Garritani; R C Aalberse; F Bonifazi
Journal:  Allergy       Date:  1996-02       Impact factor: 13.146

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  74 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.  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

3.  Robust quantitative modeling of peptide binding affinities for MHC molecules using physical-chemical descriptors.

Authors:  Ovidiu Ivanciuc; Werner Braun
Journal:  Protein Pept Lett       Date:  2007       Impact factor: 1.890

4.  Distinguishing allergens from non-allergenic homologues using Physical-Chemical Property (PCP) motifs.

Authors:  Wenzhe Lu; Surendra S Negi; Catherine H Schein; Soheila J Maleki; Barry K Hurlburt; Werner Braun
Journal:  Mol Immunol       Date:  2018-04-06       Impact factor: 4.407

Review 5.  Bioinformatics approaches to classifying allergens and predicting cross-reactivity.

Authors:  Catherine H Schein; Ovidiu Ivanciuc; Werner Braun
Journal:  Immunol Allergy Clin North Am       Date:  2007-02       Impact factor: 3.479

Review 6.  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

7.  Computationally predicted IgE epitopes of walnut allergens contribute to cross-reactivity with peanuts.

Authors:  S J Maleki; S S Teuber; H Cheng; D Chen; S S Comstock; S Ruan; C H Schein
Journal:  Allergy       Date:  2011-08-23       Impact factor: 13.146

8.  Study of peptide fingerprints of parasite proteins and drug-DNA interactions with Markov-Mean-Energy invariants of biopolymer molecular-dynamic lattice networks.

Authors:  Lázaro Guillermo Pérez-Montoto; María Auxiliadora Dea-Ayuela; Francisco J Prado-Prado; Francisco Bolas-Fernández; Florencio M Ubeira; Humberto González-Díaz
Journal:  Polymer (Guildf)       Date:  2009-06-03       Impact factor: 4.430

9.  Characteristic motifs for families of allergenic proteins.

Authors:  Ovidiu Ivanciuc; Tzintzuni Garcia; Miguel Torres; Catherine H Schein; Werner Braun
Journal:  Mol Immunol       Date:  2008-10-31       Impact factor: 4.407

10.  The property distance index PD predicts peptides that cross-react with IgE antibodies.

Authors:  Ovidiu Ivanciuc; Terumi Midoro-Horiuti; Catherine H Schein; Liping Xie; Gilbert R Hillman; Randall M Goldblum; Werner Braun
Journal:  Mol Immunol       Date:  2008-10-23       Impact factor: 4.407

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