PREDICTION OFALLERGENICITY OF CRY PROTEINS PRODUCED BY BACILLUS THURINGIENSIS USINGBIOINFORMATIC TOOLS

	PREDICTION OFALLERGENICITY OF CRY PROTEINS PRODUCED BY BACILLUS THURINGIENSIS USINGBIOINFORMATIC TOOLS
Iraqi Journal of Biotechnology
Article 1, Volume 10, Issue 2, 2011, Pages 186-202
Abstract
ABSTRACT Bioinformatics performs a lot of tools for biological studies, among those prediction of allergenicity. The study carried out to predict allergenicity of Cry toxins produced by Bacillus thuringiensis which their genes are used in production of plants resist to insects. Five hundreds and eleven Cry protein sequences were downloaded from NCBI. The proteins subjected to investigation of their composition of amino acids and molecular weights, estimation of pI and net charge, pepsin digestion at pH 1.2 and >2.0 and estimation of hydrophobicity. Results revealed that proteins are greatly different in their number of amino acids which ranged from 78-1825 residues and MW 8587.42-251932.0 Dalton. The pI was 4.36-10.16 and was proportional to the net charge of proteins. Using AllermatchTM program recommended by FAO/WHO, output pointed to similarity of 0.78%(4 out of 513) of protein to those of IgE epitopes of documented allergens. Similarity >35% over 80 amino acids window revealed that 3.72% (19 out of 513) of Cry proteins similar to known allergens. Using Allergen online website which is slightly different from AllermatchTM showed no similarity with allergens (included in its databases). Using specialized program for IgE epitopes i.e; AlgPred revealed no similarity as well
Keywords
Bioinformatic tools; Cry toxins; Allergenicity; Allergy prediction; Insilico studies

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