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Prediction of protein post-translational modifications: main trends and methods

Boris Nikolaevich Sobolev 1
Boris Nikolaevich Sobolev
, 
Aleksandr Vladimirovich Veselovsky 1
Aleksandr Vladimirovich Veselovsky
, 
Vladimir Vasil'evich Poroikov 1
Vladimir Vasil'evich Poroikov
1 Institute of Biomedical Chemistry of Russian Academy of Medical Sciences
10.1070/RC2014v083n02ABEH004377
Published 30 November 2013
Communication , Volume 83, Issue 2, 143-154
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Sobolev B. N., Veselovsky A. V., Poroikov V. V. Prediction of protein post-translational modifications: main trends and methods // Russian Chemical Reviews. 2014. Vol. 83. No. 2. pp. 143-154.
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Sobolev B. N., Veselovsky A. V., Poroikov V. V. Prediction of protein post-translational modifications: main trends and methods // Russian Chemical Reviews. 2014. Vol. 83. No. 2. pp. 143-154.
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TY - JOUR
DO - 10.1070/RC2014v083n02ABEH004377
UR - https://rcr.colab.ws/publications/10.1070/RC2014v083n02ABEH004377
TI - Prediction of protein post-translational modifications: main trends and methods
T2 - Russian Chemical Reviews
AU - Sobolev, Boris Nikolaevich
AU - Veselovsky, Aleksandr Vladimirovich
AU - Poroikov, Vladimir Vasil'evich
PY - 2014
DA - 2013/11/30
PB - ANO Editorial Board of the journal Uspekhi Khimii
SP - 143-154
IS - 2
VL - 83
ER -
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@article{2014_Sobolev,
author = {Boris Nikolaevich Sobolev and Aleksandr Vladimirovich Veselovsky and Vladimir Vasil'evich Poroikov},
title = {Prediction of protein post-translational modifications: main trends and methods},
journal = {Russian Chemical Reviews},
year = {2014},
volume = {83},
publisher = {ANO Editorial Board of the journal Uspekhi Khimii},
month = {Nov},
url = {https://rcr.colab.ws/publications/10.1070/RC2014v083n02ABEH004377},
number = {2},
pages = {143--154},
doi = {10.1070/RC2014v083n02ABEH004377}
}
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Sobolev, Boris Nikolaevich, et al. “Prediction of protein post-translational modifications: main trends and methods.” Russian Chemical Reviews, vol. 83, no. 2, Nov. 2014, pp. 143-154. https://rcr.colab.ws/publications/10.1070/RC2014v083n02ABEH004377.
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Abstract

The review summarizes main trends in the development of methods for the prediction of protein post-translational modifications (PTMs) by considering the three most common types of PTMs --- phosphorylation, acetylation and glycosylation. Considerable attention is given to general characteristics of regulatory interactions associated with PTMs. Different approaches to the prediction of PTMs are analyzed. Most of the methods are based only on the analysis of the neighbouring environment of modification sites. The related software is characterized by relatively low accuracy of PTM predictions, which may be due both to the incompleteness of training data and the features of PTM regulation. Advantages and limitations of the phylogenetic approach are considered. The prediction of PTMs using data on regulatory interactions, including the modular organization of interacting proteins, is a promising field, provided that a more carefully selected training data will be used.

The bibliography includes 145 references.

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