文章基本信息

标题：Snake Toxin Classification using Neural Networks
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作者：Akash Nag ; Sunil Karforma
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2016
卷号：40
期号：2
页码：78-83
DOI：10.14445/22312803/IJCTT-V40P114
出版社：Seventh Sense Research Group
摘要：In this paper, a method is presented for classifying snake toxins into neurotoxins, cytotoxins or cardiotoxins, using a fourstage neural network. A training phase was used to teach the network to recognize the type of toxin based on the number of amino acid residues between the disulphide bridges, on a sample set of 139 snake toxins. When the trained network was used to classify a set of 239 toxins, the system achieved an accuracy of 74%.
关键词：snake toxins; snake venom; neurotoxin; cytotoxin; cardiotoxin; artificial neural networks; classification; bioinformaticsI.