Predicting the Types of Ion Channel-Targeted Conotoxins Based on AVC-SVM Model
Joint Authors
Xianfang, Wang
Junmei, Wang
Xiaolei, Wang
Yue, Zhang
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The conotoxin proteins are disulfide-rich small peptides.
Predicting the types of ion channel-targeted conotoxins has great value in the treatment of chronic diseases, epilepsy, and cardiovascular diseases.
To solve the problem of information redundancy existing when using current methods, a new model is presented to predict the types of ion channel-targeted conotoxins based on AVC (Analysis of Variance and Correlation) and SVM (Support Vector Machine).
First, the F value is used to measure the significance level of the feature for the result, and the attribute with smaller F value is filtered by rough selection.
Secondly, redundancy degree is calculated by Pearson Correlation Coefficient.
And the threshold is set to filter attributes with weak independence to get the result of the refinement.
Finally, SVM is used to predict the types of ion channel-targeted conotoxins.
The experimental results show the proposed AVC-SVM model reaches an overall accuracy of 91.98%, an average accuracy of 92.17%, and the total number of parameters of 68.
The proposed model provides highly useful information for further experimental research.
The prediction model will be accessed free of charge at our web server.
American Psychological Association (APA)
Xianfang, Wang& Junmei, Wang& Xiaolei, Wang& Yue, Zhang. 2017. Predicting the Types of Ion Channel-Targeted Conotoxins Based on AVC-SVM Model. BioMed Research International،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1135532
Modern Language Association (MLA)
Xianfang, Wang…[et al.]. Predicting the Types of Ion Channel-Targeted Conotoxins Based on AVC-SVM Model. BioMed Research International No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1135532
American Medical Association (AMA)
Xianfang, Wang& Junmei, Wang& Xiaolei, Wang& Yue, Zhang. Predicting the Types of Ion Channel-Targeted Conotoxins Based on AVC-SVM Model. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1135532
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135532