Predicting Presynaptic and Postsynaptic Neurotoxins by Developing Feature Selection Technique.

Abstract:

: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.

journal_name

Biomed Res Int

authors

Tang H,Yang Y,Zhang C,Chen R,Huang P,Duan C,Zou P

doi

10.1155/2017/3267325

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

3267325

eissn

2314-6133

issn

2314-6141

journal_volume

2017

pub_type

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