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Protein post-translational modifications: In silico prediction tools and molecular modeling
Post-translational modifications (PTMs) occur in almost all proteins and play an important role in numerous biological processes by significantly affecting proteins' structure and dynamics. Several computational approaches have been developed to study PTMs (e.g., phosphorylation, sumoylation or...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Research Network of Computational and Structural Biotechnology
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397102/ https://www.ncbi.nlm.nih.gov/pubmed/28458782 http://dx.doi.org/10.1016/j.csbj.2017.03.004 |
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author | Audagnotto, Martina Dal Peraro, Matteo |
author_facet | Audagnotto, Martina Dal Peraro, Matteo |
author_sort | Audagnotto, Martina |
collection | PubMed |
description | Post-translational modifications (PTMs) occur in almost all proteins and play an important role in numerous biological processes by significantly affecting proteins' structure and dynamics. Several computational approaches have been developed to study PTMs (e.g., phosphorylation, sumoylation or palmitoylation) showing the importance of these techniques in predicting modified sites that can be further investigated with experimental approaches. In this review, we summarize some of the available online platforms and their contribution in the study of PTMs. Moreover, we discuss the emerging capabilities of molecular modeling and simulation that are able to complement these bioinformatics methods, providing deeper molecular insights into the biological function of post-translational modified proteins. |
format | Online Article Text |
id | pubmed-5397102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-53971022017-04-28 Protein post-translational modifications: In silico prediction tools and molecular modeling Audagnotto, Martina Dal Peraro, Matteo Comput Struct Biotechnol J Short Survey Post-translational modifications (PTMs) occur in almost all proteins and play an important role in numerous biological processes by significantly affecting proteins' structure and dynamics. Several computational approaches have been developed to study PTMs (e.g., phosphorylation, sumoylation or palmitoylation) showing the importance of these techniques in predicting modified sites that can be further investigated with experimental approaches. In this review, we summarize some of the available online platforms and their contribution in the study of PTMs. Moreover, we discuss the emerging capabilities of molecular modeling and simulation that are able to complement these bioinformatics methods, providing deeper molecular insights into the biological function of post-translational modified proteins. Research Network of Computational and Structural Biotechnology 2017-03-31 /pmc/articles/PMC5397102/ /pubmed/28458782 http://dx.doi.org/10.1016/j.csbj.2017.03.004 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Short Survey Audagnotto, Martina Dal Peraro, Matteo Protein post-translational modifications: In silico prediction tools and molecular modeling |
title | Protein post-translational modifications: In silico prediction tools and molecular modeling |
title_full | Protein post-translational modifications: In silico prediction tools and molecular modeling |
title_fullStr | Protein post-translational modifications: In silico prediction tools and molecular modeling |
title_full_unstemmed | Protein post-translational modifications: In silico prediction tools and molecular modeling |
title_short | Protein post-translational modifications: In silico prediction tools and molecular modeling |
title_sort | protein post-translational modifications: in silico prediction tools and molecular modeling |
topic | Short Survey |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5397102/ https://www.ncbi.nlm.nih.gov/pubmed/28458782 http://dx.doi.org/10.1016/j.csbj.2017.03.004 |
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