指数富集配体系统进化
适体
计算生物学
SELEX适体技术
生物
分子生物学
基因
遗传学
核糖核酸
作者
Peng Jiang,Susanne Meyer,Zhonggang Hou,Nicholas E. Propson,H. Tom Soh,James A. Thomson,Ron Stewart
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2014-05-28
卷期号:30 (18): 2665-2667
被引量:48
标识
DOI:10.1093/bioinformatics/btu348
摘要
Abstract Summary: Aptamers are ‘synthetic antibodies’ that can bind to target molecules with high affinity and specificity. Aptamers are chemically synthesized and their discovery can be performed completely in vitro , rather than relying on in vivo biological processes, making them well-suited for high-throughput discovery. However, a large fraction of the most enriched aptamers in Systematic Evolution of Ligands by EXponential enrichment (SELEX) rounds display poor binding activity. Here, we present MPBind, a M eta-motif-based statistical framework and pipeline to P redict the Bind ing potential of SELEX-derived aptamers. Using human embryonic stem cell SELEX-Seq data, MPBind achieved high prediction accuracy for binding potential. Further analysis showed that MPBind is robust to both polymerase chain reaction amplification bias and incomplete sequencing of aptamer pools. These two biases usually confound aptamer analysis. Availability and implementation : MPBind software and documents are available at http://www.morgridge.net/MPBind.html . The human embryonic stem cells whole-cell SELEX-Seq data are available at http://www.morgridge.net/Aptamer/ . Contact : RStewart@morgridge.org Supplementary information : Supplementary data are available at Bioinformatics online.
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