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BioMed Research International
Volume 2014, Article ID 286419, 10 pages
http://dx.doi.org/10.1155/2014/286419
Research Article

iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels

1Key Laboratory for Neuro-Information of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
2Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China
3Gordon Life Science Institute, Boston, MA 02478, USA
4Department of Physics, School of Sciences Center for Genomics and Computational Biology, Hebei United University, Tangshan 063000, China
5Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia

Received 13 March 2014; Revised 22 April 2014; Accepted 7 May 2014; Published 1 June 2014

Academic Editor: Shiwei Duan

Copyright © 2014 Hui Ding et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supporting Information S1: The benchmark dataset 𝕊 contains 112 conotoxins, of which 24 belong to K-channel-targeting type, 43 to Na-channel-targeting type, and 45 to Ca-channel-targeting type.

Supporting Information S2: The independent dataset 𝕊Ind contains 70 conotoxins, of which 12 are of K-channel-targeting type, 37 of Na-channel-targeting type, and 21 of Ca-channel-targeting type. None of the samples listed here occurs in benchmark dataset 𝕊.

  1. Supporting Information S1
  2. Supporting Information S2