Prediction of Golgi-Resident Protein Types Using Computational Method

Abstract

The Golgi apparatus plays a key role in sorting, modifying, packaging and distributing proteins. Thus, correct identification of the type of a Golgi-resident protein will provide in-depth insights into its function involved in various biological processes. In this article, we will briefly outline the prediction of protein subGolgi localizations using bioinformatics method. We introduced the available databases for training predicted models. Moreover, three kinds of methods were presented for discriminating between cis-Golgi and trans-Golgi proteins.

Keywords: Cis-Golgi proteins, trans-Golgi proteins, benchmark dataset, information parameter, feature selection, increment of diversity, analysis of variance, binomial distribution, support vector machine, cross-validation.