Predicting Presynaptic and Postsynaptic Neurotoxins by Developing Feature Selection Technique.
Presynaptic and postsynaptic neurotoxins are proteins which act at the presynaptic and postsynaptic membrane. Correctly predicting presynaptic and postsynaptic neurotoxins will provide important clues for drug-target discovery and drug design. In this study, we developed a theoretical method to disc...
| Publicado en: | BioMed Research International Vol. 2017; pp. 1 - 5 |
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| Autores principales: | , , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
2/12/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121235674&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121235674 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 2/12/2017 vid: 2017 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 121235674 121235674 121235674 10.1155/2017/3267325 121235674 ppf: 1 ppct: 4 formats: fmt: @attributes: type: P tig: atl: Predicting Presynaptic and Postsynaptic Neurotoxins by Developing Feature Selection Technique. aug: au: Tang, Hua Yang, Yunchun Zhang, Chunmei Chen, Rong Huang, Po Duan, Chenggang Zou, Ping affil: Department of Pathophysiology, Southwest Medical University, Luzhou 646000, China sug: subj: Neural Transmission Physiology Poisons Nervous System Amino Acids Bioinformatics Models, Theoretical Proteins Adverse Effects Drug Design Analysis of Variance Benchmarking Neural Transmission Classification Funding Source ab: Presynaptic and postsynaptic neurotoxins are proteins which act at the presynaptic and postsynaptic membrane. Correctly predicting presynaptic and postsynaptic neurotoxins will provide important clues for drug-target discovery and drug design. In this study, we developed a theoretical method to discriminate presynaptic neurotoxins from postsynaptic neurotoxins. A strict and objective benchmark dataset was constructed to train and test our proposed model. The dipeptide composition was used to formulate neurotoxin samples. The analysis of variance (ANOVA) was proposed to find out the optimal feature set which can produce the maximum accuracy. In the jackknife cross-validation test, the overall accuracy of 94.9% was achieved. We believe that the proposed model will provide important information to study neurotoxins. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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