Prediction of Golgi-Resident Protein Types Using Computational Method
- Authors: Hao Lin1, Hui Ding, Wei Chen3
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View Affiliations Hide Affiliations1 Key Laboratory for NeuroInformation of Ministry of Education, Center ofBioinformatics, School of Life Science and Technology, University of ElectronicScience and Technology of China, Chengdu, 610054, China 3 Department ofPhysics, School of Sciences, Center for Genomics and Computational Biology,Hebei United University, Tangshan, China
- Source: Frontiers in Protein and Peptide Sciences: Volume 1 , pp 174-193
- Publication Date: July 2014
- Language: English
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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.
Hardbound ISBN:
9781608058631
Ebook ISBN:
9781608058624
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