title: Prediction of the types of ion channel-targeted conotoxins based on radial basis function network.
abstract: Conotoxins are small disulfide-rich peptide toxins, which have the exceptional diversity of sequences. Because conotoxins are able to specifically bind to ion channels and interfere with neurotransmission, they are considered as the excellent pharmacological candidates in drug design. Appropriate type assignment of newly sequenced mature ion channel-targeted conotoxins with computational method is conducive to explore the biological and pharmacological functions of conotoxins. In this paper, we developed a novel method based on binomial distribution and radial basis function network to predict the types of ion-channel targeted conotoxins. We achieved the overall accuracy of 89.3% with average accuracy of 89.7% in the prediction of three types of ion channel-targeted conotoxins in jackknife cross-validation test, indicating that the method is superior to other state-of-the-art methods. In addition, we evaluated the proposed model with an independent dataset including 77 conotoxins. The overall accuracy of 85.7% was achieved, validating that our model is reliable. Moreover, we used the proposed method to annotate 336 function-undefined mature conotoxins in the UniProt Database. The model provides the valuable instructions for theoretical and experimental research on conotoxins.
authors.affiliation: Key Laboratory for NeuroInformation of Ministry of Education, Center of Bioinformatics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Lu-Feng
authors.initials: LF
authors.lastname: Yuan
authors.forename: Chen
authors.initials: C
authors.lastname: Ding
authors.forename: Shou-Hui
authors.initials: SH
authors.lastname: Guo
authors.forename: Hui
authors.initials: H
authors.lastname: Ding
authors.forename: Wei
authors.initials: W
authors.lastname: Chen
authors.forename: Hao
authors.initials: H
authors.lastname: Lin
mesh_terms: D019295:Computational Biology / Q000379:methods; D020916:Conotoxins / Q000494:pharmacology*; D030562:Databases, Protein; D007473:Ion Channels / Q000378:metabolism*; D008954:Models, Biological; D015203:Reproducibility of Results
chemical_list: D020916:Conotoxins; D007473:Ion Channels