Bioinformatics Vol. 18 no. 10 2002
Pages 1358-1364
© 2002 Oxford University Press
Data mining of sequences and 3D structures of allergenic proteins
1 Sealy Center for Structural Biology, Department of Human Biological Chemistry and Genetics, University of Texas Medical Branch, Galveston, TX 77555-1157, USA
Received on January 17, 2002
; revised on March 26, 2002
; accepted on April 26, 2002
Motivation: Many sequences, and in some cases structures, of proteins that induce an allergic response in atopic individuals have been determined in recent years. This data indicates that allergens, regardless of source, fall into discreet protein families. Similarities in the sequence may explain clinically observed cross-reactivities between different biological triggers. However, previously available allergy databases group allergens according to their biological sources, or observed clinical cross-reactivities, without providing data about the proteins. A computer-aided data mining system is needed to compare the sequential and structural details of known allergens. This information will aid in predicting allergenic cross-responses and eventually in determining possible common characteristics of IgE recognition.
Results: The new web-based Structural Database of Allergenic Proteins (SDAP) permits the user to quickly compare the sequence and structure of allergenic proteins. Data from literature sources and previously existing lists of allergens are combined in a MySQL interactive database with a wide selection of bioinformatics applications. SDAP can be used to rapidly determine the relationship between allergens and to screen novel proteins for the presence of IgE or T-cell epitopes they may share with known allergens. Further, our novel similarity search method, based on five dimensional descriptors of amino acid properties, can be used to scan the SDAP entries with a peptide sequence. For example, when a known IgE binding epitope from shrimp tropomyosin was used as a query, the method rapidly identified a similar sequence in known shellfish and insect allergens. This prediction of cross-reactivity between allergens is consistent with clinical observations.
Availability: SDAP is available on the web at http://fermi.utmb.edu/SDAP/index.html
Contact: werner{at}newton.utmb.edu
* To whom correspondence should be addressed.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
A. M. Barrio, D. Soeria-Atmadja, A. Nister, M. G. Gustafsson, U. Hammerling, and E. Bongcam-Rudloff EVALLER: a web server for in silico assessment of potential protein allergenicity Nucleic Acids Res., July 13, 2007; 35(suppl_2): W694 - W700. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. Soeria-Atmadja, T. Lundell, M. G. Gustafsson, and U. Hammerling Computational detection of allergenic proteins attains a new level of accuracy with in silico variable-length peptide extraction and machine learning Nucleic Acids Res., August 29, 2006; 34(13): 3779 - 3793. [Abstract] [Full Text] [PDF] |
||||
![]() |
Ås. K. Björklund, D. Soeria-Atmadja, A. Zorzet, U. Hammerling, and M. G. Gustafsson Supervised identification of allergen-representative peptides for in silico detection of potentially allergenic proteins Bioinformatics, January 1, 2005; 21(1): 39 - 50. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. A. Trevino, M. F. Garcia-Mayoral, P. Barral, M. Villalba, J. Santoro, M. Rico, R. Rodriguez, and M. Bruix NMR Solution Structure of Ole e 6, a Major Allergen from Olive Tree Pollen J. Biol. Chem., September 10, 2004; 279(37): 39035 - 39041. [Abstract] [Full Text] [PDF] |
||||
![]() |
O. Ivanciuc, C. H. Schein, and W. Braun SDAP: database and computational tools for allergenic proteins Nucleic Acids Res., January 1, 2003; 31(1): 359 - 362. [Abstract] [Full Text] [PDF] |
||||


