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QSBR Study of Bitter Taste of Peptides: Application of GA-PLS in Combination with MLR, SVM, and ANN Approaches
Joint Authors
Soltani, Somaieh
Haghaei, Hossein
Shayanfar, Ali
Vallipour, Javad
Asadpour Zeynali, Karim
Jouyban, Abolghasem
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1004464