VGIchan: Prediction and Classification of Voltage-Gated Ion Channels

This study describes methods for predicting and classifying voltage-gated ion channels. Firstly, a standard support vector machine (SVM) method was developed for predicting ion channels by using amino acid composition and dipeptide composition, with an accuracy of 82.89% and 85.56%, respectively. Th...

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Detalles Bibliográficos
Autores principales: Saha, Sudipto, Zack, Jyoti, Singh, Balvinder, Raghava, G.P.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2006
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054079/
https://www.ncbi.nlm.nih.gov/pubmed/17531801
http://dx.doi.org/10.1016/S1672-0229(07)60006-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054079/
https://www.ncbi.nlm.nih.gov/pubmed/17531801
http://dx.doi.org/10.1016/S1672-0229(07)60006-0

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