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Tandem Repeats in Proteins: Prediction Algorithms and Biological Role

Tandem repetitions in protein sequence and structure is a fascinating subject of research which has been a focus of study since the late 1990s. In this survey, we give an overview on the multi-faceted aspects of research on protein tandem repeats (PTR for short), including prediction algorithms, dat...

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Autor principal: Pellegrini, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4585158/
https://www.ncbi.nlm.nih.gov/pubmed/26442257
http://dx.doi.org/10.3389/fbioe.2015.00143
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author Pellegrini, Marco
author_facet Pellegrini, Marco
author_sort Pellegrini, Marco
collection PubMed
description Tandem repetitions in protein sequence and structure is a fascinating subject of research which has been a focus of study since the late 1990s. In this survey, we give an overview on the multi-faceted aspects of research on protein tandem repeats (PTR for short), including prediction algorithms, databases, early classification efforts, mechanisms of PTR formation and evolution, and synthetic PTR design. We also touch on the rather open issue of the relationship between PTR and flexibility (or disorder) in proteins. Detection of PTR either from protein sequence or structure data is challenging due to inherent high (biological) signal-to-noise ratio that is a key feature of this problem. As early in silico analytic tools have been key enablers for starting this field of study, we expect that current and future algorithmic and statistical breakthroughs will have a high impact on the investigations of the biological role of PTR.
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spelling pubmed-45851582015-10-05 Tandem Repeats in Proteins: Prediction Algorithms and Biological Role Pellegrini, Marco Front Bioeng Biotechnol Bioengineering and Biotechnology Tandem repetitions in protein sequence and structure is a fascinating subject of research which has been a focus of study since the late 1990s. In this survey, we give an overview on the multi-faceted aspects of research on protein tandem repeats (PTR for short), including prediction algorithms, databases, early classification efforts, mechanisms of PTR formation and evolution, and synthetic PTR design. We also touch on the rather open issue of the relationship between PTR and flexibility (or disorder) in proteins. Detection of PTR either from protein sequence or structure data is challenging due to inherent high (biological) signal-to-noise ratio that is a key feature of this problem. As early in silico analytic tools have been key enablers for starting this field of study, we expect that current and future algorithmic and statistical breakthroughs will have a high impact on the investigations of the biological role of PTR. Frontiers Media S.A. 2015-09-24 /pmc/articles/PMC4585158/ /pubmed/26442257 http://dx.doi.org/10.3389/fbioe.2015.00143 Text en Copyright © 2015 Pellegrini. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Pellegrini, Marco
Tandem Repeats in Proteins: Prediction Algorithms and Biological Role
title Tandem Repeats in Proteins: Prediction Algorithms and Biological Role
title_full Tandem Repeats in Proteins: Prediction Algorithms and Biological Role
title_fullStr Tandem Repeats in Proteins: Prediction Algorithms and Biological Role
title_full_unstemmed Tandem Repeats in Proteins: Prediction Algorithms and Biological Role
title_short Tandem Repeats in Proteins: Prediction Algorithms and Biological Role
title_sort tandem repeats in proteins: prediction algorithms and biological role
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4585158/
https://www.ncbi.nlm.nih.gov/pubmed/26442257
http://dx.doi.org/10.3389/fbioe.2015.00143
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