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CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins
المؤلفون المشاركون
Nantasenamat, Chanin
Shoombuatong, Watshara
Prachayasittikul, Virapong
Pratiwi, Reny
Malik, Aijaz Ahmad
Schaduangrat, Nalini
Wikberg, Jarl E. S.
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-02-09
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Antifreeze protein (AFP) is an ice-binding protein that protects organisms from freezing in extremely cold environments.
AFPs are found across a diverse range of species and, therefore, significantly differ in their structures.
As there are no consensus sequences available for determining the ice-binding domain of AFPs, thus the prediction and characterization of AFPs from their sequence is a challenging task.
This study addresses this issue by predicting AFPs directly from sequence on a large set of 478 AFPs and 9,139 non-AFPs using machine learning (e.g., random forest) as a function of interpretable features (e.g., amino acid composition, dipeptide composition, and physicochemical properties).
Furthermore, AFPs were characterized using propensity scores and important physicochemical properties via statistical and principal component analysis.
The predictive model afforded high performance with an accuracy of 88.28% and results revealed that AFPs are likely to be composed of hydrophobic amino acids as well as amino acids with hydroxyl and sulfhydryl side chains.
The predictive model is provided as a free publicly available web server called CryoProtect for classifying query protein sequence as being either AFP or non-AFP.
The data set and source code are for reproducing the results which are provided on GitHub.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pratiwi, Reny& Malik, Aijaz Ahmad& Schaduangrat, Nalini& Prachayasittikul, Virapong& Wikberg, Jarl E. S.& Nantasenamat, Chanin…[et al.]. 2017. CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins. Journal of Chemistry،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1172621
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pratiwi, Reny…[et al.]. CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins. Journal of Chemistry No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1172621
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pratiwi, Reny& Malik, Aijaz Ahmad& Schaduangrat, Nalini& Prachayasittikul, Virapong& Wikberg, Jarl E. S.& Nantasenamat, Chanin…[et al.]. CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins. Journal of Chemistry. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1172621
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1172621
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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