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...

Descripción completa

Detalles Bibliográficos
Publicado en:	BioMed Research International Vol. 2017; pp. 1 - 5
Autores principales:	Tang, Hua, Yang, Yunchun, Zhang, Chunmei, Chen, Rong, Huang, Po, Duan, Chenggang, Zou, Ping
Formato:	equations & formulas research tables/charts Journal Article
Publicado:	Wiley-Blackwell 2/12/2017
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	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.