AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine

AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine

Antioxidant proteins play important roles in countering oxidative damage in organisms. Because it is time-consuming and has a high cost, the accurate identification of antioxidant proteins using biological experiments is a challenging task. For these reasons, we proposed a model using machine-learni...

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Bibliographic Details
Main Authors: Chaolu Meng, Shunshan Jin, Lei Wang, Fei Guo, Quan Zou
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-09-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
antioxidant proteins
machine-learning
sequence features
support vector machine
classifier
Online Access:https://www.frontiersin.org/article/10.3389/fbioe.2019.00224/full

Internet

https://www.frontiersin.org/article/10.3389/fbioe.2019.00224/full

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