Snake Toxin Classification using Neural Networks
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2016 by IJCTT Journal | ||
| Volume-40 Number-2 |
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| Year of Publication : 2016 | ||
| Authors : Akash Nag, Sunil Karforma | ||
| DOI : 10.14445/22312803/IJCTT-V40P114 |
Akash Nag, Sunil Karforma "Snake Toxin Classification using Neural Networks". International Journal of Computer Trends and Technology (IJCTT) V40(2):78-83, October 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
In this paper, a method is presented for classifying snake toxins into neurotoxins, cytotoxins or cardiotoxins, using a four-stage 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%.
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Keywords
snake toxins, snake venom, neurotoxin, cytotoxin, cardiotoxin, artificial neural networks, classification, bioinformatics.