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Aptamer Bioinformatics

Aptamers are short nucleic acid sequences capable of specific, high-affinity molecular binding. They are isolated via SELEX (Systematic Evolution of Ligands by Exponential Enrichment), an evolutionary process that involves iterative rounds of selection and amplification before sequencing and aptamer...

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Detalles Bibliográficos
Autores principales: Kinghorn, Andrew B., Fraser, Lewis A., Liang, Shaolin, Shiu, Simon Chi-Chin, Tanner, Julian A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751119/
https://www.ncbi.nlm.nih.gov/pubmed/29186809
http://dx.doi.org/10.3390/ijms18122516
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author Kinghorn, Andrew B.
Fraser, Lewis A.
Liang, Shaolin
Shiu, Simon Chi-Chin
Tanner, Julian A.
author_facet Kinghorn, Andrew B.
Fraser, Lewis A.
Liang, Shaolin
Shiu, Simon Chi-Chin
Tanner, Julian A.
author_sort Kinghorn, Andrew B.
collection PubMed
description Aptamers are short nucleic acid sequences capable of specific, high-affinity molecular binding. They are isolated via SELEX (Systematic Evolution of Ligands by Exponential Enrichment), an evolutionary process that involves iterative rounds of selection and amplification before sequencing and aptamer characterization. As aptamers are genetic in nature, bioinformatic approaches have been used to improve both aptamers and their selection. This review will discuss the advancements made in several enclaves of aptamer bioinformatics, including simulation of aptamer selection, fragment-based aptamer design, patterning of libraries, identification of lead aptamers from high-throughput sequencing (HTS) data and in silico aptamer optimization.
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spelling pubmed-57511192018-01-08 Aptamer Bioinformatics Kinghorn, Andrew B. Fraser, Lewis A. Liang, Shaolin Shiu, Simon Chi-Chin Tanner, Julian A. Int J Mol Sci Review Aptamers are short nucleic acid sequences capable of specific, high-affinity molecular binding. They are isolated via SELEX (Systematic Evolution of Ligands by Exponential Enrichment), an evolutionary process that involves iterative rounds of selection and amplification before sequencing and aptamer characterization. As aptamers are genetic in nature, bioinformatic approaches have been used to improve both aptamers and their selection. This review will discuss the advancements made in several enclaves of aptamer bioinformatics, including simulation of aptamer selection, fragment-based aptamer design, patterning of libraries, identification of lead aptamers from high-throughput sequencing (HTS) data and in silico aptamer optimization. MDPI 2017-11-24 /pmc/articles/PMC5751119/ /pubmed/29186809 http://dx.doi.org/10.3390/ijms18122516 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Kinghorn, Andrew B.
Fraser, Lewis A.
Liang, Shaolin
Shiu, Simon Chi-Chin
Tanner, Julian A.
Aptamer Bioinformatics
title Aptamer Bioinformatics
title_full Aptamer Bioinformatics
title_fullStr Aptamer Bioinformatics
title_full_unstemmed Aptamer Bioinformatics
title_short Aptamer Bioinformatics
title_sort aptamer bioinformatics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751119/
https://www.ncbi.nlm.nih.gov/pubmed/29186809
http://dx.doi.org/10.3390/ijms18122516
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AT shiusimonchichin aptamerbioinformatics
AT tannerjuliana aptamerbioinformatics