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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5751119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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