Identifies defensin proteins families. iDPF-PseRAAAC is a support vector machine (SVM) classifier proposed to classify the five defensin families (Insect, Invertebrate, Plant, Unclassified and Vertebrate). Compared with other existing methods, iDPF-PseRAAAC yields the highest predictive success rate. It can achieve a maximum overall accuracy (OA) of 95.10% for the defensin family, and 98.39% for the vertebrate subfamily.
The Key Laboratory of Mammalian Reproductive Biology and Biotechnology of the Ministry of Education, College of life sciences, Inner Mongolia University, Hohhot, China; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China; Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot, China
iDPF-PseRAAAC funding source(s)
Supported by The National Nature Scientific Foundation of China (No:11447201, 61561036), the Specialized Research Fund for the Doctoral Program of Higher Education (20131501120009) and the Natural Science Foundation of Inner Mongolia Autonomous Region (No:2013MS0503).