Predicting sRNAs and Their Targets in Bacteria

查看全文 作　　者：Wuju [1]Li;Xiaomin [1]Ying;Qixuan [1,2]Lu;Linxi [2]Chen

机构地区：[1]Beiiing Institute of Basic Medical Sciences,Beijing 100850,China;[2]Institute of Pharmacy and Pharmacology,University of South China,Hengyang 421001,China

出　　处：《Genomics, Proteomics & Bioinformatics》索引2012年第10卷第5期,共9页

基　　金：supported by grants from National Key Basic Research and Development Program (Grant No.2010CB912801);National Natural Science Foundation of China (Grant No. 31071157 and 31271404) 摘　　要：Bacterial small RNAs (sRNAs) are an emerging class of regulatory RNAs of about 40-500 nucleotides in length and, by binding to their target mRNAs or proteins, get involved in many biological processes such as sensing environmental changes and regulating gene expression. Thus, identification of bacterial sRNAs and their targets has become an important part of sRNA biology. Current strategies for discovery of sRNAs and their targets usually involve bioinformatics prediction followed by experimental validation, emphasizing a key role for bioinformatics prediction. Here, therefore, we provided an overview on prediction methods, focusing on the merits and limitations of each class of models. Finally, we will present our thinking on developing related bioinformatics models in future. 关键词：小RNA 细菌调控基因表达生物信息学小分子RNA 蛋白质结合目标基因生物过程

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Predicting sRNAs and Their Targets in Bacteria

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