Aptamer Bioinformatics

被引：128

作者：

Kinghorn, Andrew B. ^{[1
]}

Fraser, Lewis A. ^{[1
]}

Liang, Shaolin ^{[1
]}

Shiu, Simon Chi-Chin ^{[1
]}

Tanner, Julian A. ^{[1
]}

机构：

[1] Univ Hong Kong, Li Ka Shing Fac Med, Sch Biomed Sci, Pokfulam, Hong Kong, Peoples R China

来源：

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES | 2017年 / 18卷 / 12期

关键词：

aptamer; simulation; in silico selection; molecular dynamics; fragment based design; HTS; IN-VITRO SELECTION; THROUGHPUT SEQUENCE-ANALYSIS; EXPONENTIAL ENRICHMENT; SYSTEMATIC EVOLUTION; STRUCTURAL BASIS; DNA-APTAMERS; G-QUADRUPLEX; RNA LIGANDS; WEB SERVER; SELEX;

D O I：

10.3390/ijms18122516

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页数：22

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