WANG Xiao, YANG Peng-peng, WANG Rong and et al. Predicting functional types of antimicrobial peptides with pseudo amino acid composition and multi-label k-nearest neighbor algorithm[J]. Journal of Light Industry, 2015, 30(5-6): 85-87. doi: 10.3969/j.issn.2095-476X.2015.5/6.017
Citation:
WANG Xiao, YANG Peng-peng, WANG Rong and et al. Predicting functional types of antimicrobial peptides with pseudo amino acid composition and multi-label k-nearest neighbor algorithm[J]. Journal of Light Industry, 2015, 30(5-6): 85-87.
doi:
10.3969/j.issn.2095-476X.2015.5/6.017
Predicting functional types of antimicrobial peptides with pseudo amino acid composition and multi-label k-nearest neighbor algorithm
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College of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, China
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Received Date:
2015-09-28
Available Online:
2015-11-15
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Abstract
In order to solve the problem that most of the existing computational methods can only predict one functional type of antibacterial peptides, a computational prediction method was developed for prediction of multiple functional types of antibacterial peptides based on the pseudo amino acid composition(PseAAC) and multi-label k-nearest neighbor(MLkNN) algorithm.It used the PseAAC to extract feature vector of antimicrobial peptide sequence, introduced the MLkNN algorithm as the prediction engine, and predicted a variety function type of antibacterial peptides simultaneously.Experimental results showed that the proposed method significantly improved the prediction performance, and it provided a useful tool for the further research in this field.
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