Abstract
Protein translational modification is an important regulating mechanism in the cellular activities and is also responsible for many human complex diseases, such as cancer. It is a foundation in the post-translational modification proteomics to accurately identify modified proteins or sites. A number of computational techniques have recently been developed to identify modified proteins or sites and greatly speed disclosure of hidden regulations in the cell. Here, we review in silico identifications for phosphorylation, acetylation, ubiquitination, methylation, glycosylation, S-nitrosylation, sumoylation, pupylation and palmitoylation. In addition, we summarize protein translational modification databases and discuss future direction of in silico identifications of modified proteins or sites.
Keywords: Feature selection, machine learning, neural network, post-translational modification, support vector machine.
Mini-Reviews in Organic Chemistry
Title:A Review of Computational Identification of Protein Post-Translational Modifications
Volume: 12 Issue: 6
Author(s): Guohua Huang and Xiaomei Li
Affiliation:
Keywords: Feature selection, machine learning, neural network, post-translational modification, support vector machine.
Abstract: Protein translational modification is an important regulating mechanism in the cellular activities and is also responsible for many human complex diseases, such as cancer. It is a foundation in the post-translational modification proteomics to accurately identify modified proteins or sites. A number of computational techniques have recently been developed to identify modified proteins or sites and greatly speed disclosure of hidden regulations in the cell. Here, we review in silico identifications for phosphorylation, acetylation, ubiquitination, methylation, glycosylation, S-nitrosylation, sumoylation, pupylation and palmitoylation. In addition, we summarize protein translational modification databases and discuss future direction of in silico identifications of modified proteins or sites.
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Cite this article as:
Huang Guohua and Li Xiaomei, A Review of Computational Identification of Protein Post-Translational Modifications, Mini-Reviews in Organic Chemistry 2015; 12 (6) . https://dx.doi.org/10.2174/1570193X13666151218191044
DOI https://dx.doi.org/10.2174/1570193X13666151218191044 |
Print ISSN 1570-193X |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6298 |
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