QSBR Study of Bitter Taste of Peptides: Application of GA-PLS in Combination with MLR, SVM, and ANN Approaches
المؤلفون المشاركون
Soltani, Somaieh
Haghaei, Hossein
Shayanfar, Ali
Vallipour, Javad
Asadpour Zeynali, Karim
Jouyban, Abolghasem
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-11-25
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
Detailed information about the relationships between structures and properties/activities of peptides as drugs and nutrients is useful in the development of drugs and functional foods containing peptides as active compounds.
The bitterness of the peptides is an undesirable property which should be reduced during drug/nutrient production, and quantitative structure bitter taste relationship (QSBR) studies can help researchers to design less bitter peptides with higher target efficiency.
Calculated structural parameters were used to develop three different QSBR models (i.e., multiple linear regression, support vector machine, and artificial neural network) to predict the bitterness of 229 peptides (containing 2–12 amino acids, obtained from the literature).
The developed models were validated using internal and external validation methods, and the prediction errors were checked using mean percentage deviation and absolute average error values.
All developed models predicted the activities successfully (with prediction errors less than experimental error values), whereas the prediction errors for nonlinear methods were less than those for linear methods.
The selected structural descriptors successfully differentiated between bitter and nonbitter peptides.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Soltani, Somaieh& Haghaei, Hossein& Shayanfar, Ali& Vallipour, Javad& Asadpour Zeynali, Karim& Jouyban, Abolghasem. 2013. QSBR Study of Bitter Taste of Peptides: Application of GA-PLS in Combination with MLR, SVM, and ANN Approaches. BioMed Research International،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1004464
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Soltani, Somaieh…[et al.]. QSBR Study of Bitter Taste of Peptides: Application of GA-PLS in Combination with MLR, SVM, and ANN Approaches. BioMed Research International No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1004464
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Soltani, Somaieh& Haghaei, Hossein& Shayanfar, Ali& Vallipour, Javad& Asadpour Zeynali, Karim& Jouyban, Abolghasem. QSBR Study of Bitter Taste of Peptides: Application of GA-PLS in Combination with MLR, SVM, and ANN Approaches. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1004464
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1004464
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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