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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...

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Detalles Bibliográficos
Autores principales: Audagnotto, Martina, Dal Peraro, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2017
Materias:
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.
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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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