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Citation
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HERO ID
7298925
Reference Type
Journal Article
Subtype
Review
Title
Aptamer Bioinformatics
Author(s)
Kinghorn, AB; Fraser, LA; Lang, S; Shiu, SCC; Tanner, JA
Year
2017
Is Peer Reviewed?
Yes
Journal
International Journal of Molecular Sciences
ISSN:
1422-0067
EISSN:
14220067
Volume
18
Issue
12
Language
English
PMID
29186809
DOI
10.3390/ijms18122516
Web of Science Id
WOS:000418896700020
Abstract
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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