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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Bibliographic Details
Main Authors: Saha, Sudipto, Zack, Jyoti, Singh, Balvinder, Raghava, G.P.S.
Format: Online
Language:English
Published: Elsevier 2006
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054079/