Unravelling Over-Represented Amino Acids in Protein Structure of Allergen Proteins; A Large-Scale Study

Journal of Cell and Molecular Research

مقاله 6، دوره 8، شماره 2 - شماره پیاپی 16، اسفند 2016، صفحه 65-70   

نوع مقاله: Research Articles

شناسه دیجیتال (DOI): 10.22067/jcmr.v0i0.60190

نویسندگان

Nassim Rahmani¹؛ Esmaeil Ebrahimie^{* 1}؛ Ali Niazi¹؛ Najaf Allahyari Fard²؛ Bijan Bambai²؛ Zarrin Minuchehr²؛ Mansour Ebrahimi³

¹Shiraz University

²National Institute of Genetic Engineering and Biotechnology (NIGEB)

³University of Qom

چکیده

Allergens are proteins or glycoproteins which make widespread disorders that can lead to a systemic anaphylactic shock and even death within a short period of time. Understanding the protein features that are involved in allergenicity is important in developing future treatments as well as engineering proteins in genetic transformation projects. A big dataset of 1439 protein features from 761 plant allergens and 7815 non-allergen proteins was constructed. Thereafter, 10 different attribute weighting algorithms were utilized to find the key characteristics differentiating allergens and non-allergen proteins. The frequency of Leu, Arg and Gln selected by different attribute weighting algorithms with more than 50% confidence, including attribute weighting by Weight_Info Gain, Weight Chi Squared, Weight_Gini Index and Weight_Relief. High amount of Gln and low percentage of Leu and Arg discriminate plant allergens from non-allergens

کلیدواژه‌ها

Plant allergens؛ Attribute weighting algorithms؛ Amino acid

مراجع