Unravelling Over-Represented Amino Acids in Protein Structure of Allergen Proteins; a Large-Scale Study
محل انتشار: مجله سلول و تحقیقات مولکولی، دوره: 8، شماره: 2
سال انتشار: 1395
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 469
فایل این مقاله در 6 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JCMR-8-2_004
تاریخ نمایه سازی: 2 آبان 1396
چکیده مقاله:
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 transformationprojects. 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 attributeweighting 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
کلیدواژه ها:
نویسندگان
Nassim Rahmani
Institute of Biotechnology, Shiraz University, Shiraz, Iran
Esmaeil Ebrahimie
Institute of Biotechnology, Shiraz University, Shiraz, Iran
Ali Niazi
Institute of Biotechnology, Shiraz University, Shiraz, Iran
Najaf Allahyari Fard
National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran