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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Published inFrontiers in bioengineering and biotechnology Vol. 3; p. 143
Main Author Pellegrini, Marco
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 01.01.2015
Subjects
Bioengineering and Biotechnology
Biological significance
Protein TR Detection Algorithms
Protein TR properties
Proteins
tandem repeats
tandem repeats
protein TR properties
protein TR detection algorithms
biological significance
proteins
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Abstract 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.
AbstractList 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.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.
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.
Tandem repetitions in protein sequence and structure is a fascinatingsubject of research which has been a focus of study since the late 1990's.In this survey we give an overviewon the multi-faceted aspects of research on protein tandem repeats textcolor{red}{(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 PTRand 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 willhave a high impact on the investigations of the biological role of PTR.
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.
Author Pellegrini, Marco
AuthorAffiliation 1 Laboratory for Integrative Systems Medicine (LISM), Istituto di Informatica e Telematica, and Istituto di Fisiologia Clinica, Consiglio Nazionale delle Ricerche , Pisa , Italy
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Keywords tandem repeats
protein TR properties
protein TR detection algorithms
biological significance
proteins
Language English
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Specialty section: This article was submitted to Bioinformatics and Computational Biology, a section of the journal Frontiers in Bioengineering and Biotechnology
Edited by: John Hancock, The Genome Analysis Centre, UK
Reviewed by: Silvio C. E. Tosatto, University of Padua, Italy; Michelle M. Simon, Medical Research Council, UK
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SecondaryResourceType review_article
Snippet 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,...
Tandem repetitions in protein sequence and structure is a fascinatingsubject of research which has been a focus of study since the late 1990's.In this survey...
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SubjectTerms Bioengineering and Biotechnology
Biological significance
Protein TR Detection Algorithms
Protein TR properties
Proteins
tandem repeats
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Title Tandem Repeats in Proteins: Prediction Algorithms and Biological Role
URI https://www.ncbi.nlm.nih.gov/pubmed/26442257
https://www.proquest.com/docview/1720447023
https://pubmed.ncbi.nlm.nih.gov/PMC4585158
https://doaj.org/article/20be29f2d6a7402eabb1ad455d1b5b45
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