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Prediction of Translation Initiation Site in Bacterial and Archaeal Genomes

机译:细菌和古细菌基因组翻译起始位点的预测

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摘要

Driven by the rapid growth of the complete genome sequences, it is accepted that genome annotation has been resorted mostly to automatic methodology. For computational annotation to bacterial and archaeal genomes, accurate prediction of translation initiation sites (TISs) is essential to locate protein coding regions of genes. Therefore, TIS prediction has been a challenge to a number of gene finders and TIS processors, leading to recent studies of TIS prediction or correction in prokaryotic genome annotation as well as of the mechanism of translation initiation. It is time for the research community to review the available mathematical models of TIS of prokaryotic gene, and the resultant algorithms for a series of current TIS processors and TIS prediction modules in gene finders. In fact, the TIS models have been improved along with the knowledge of the mechanism of translation initiation. Several studies of the mechanism of translation initiation in prokaryotic genomes have been summarized. With a few of published data sets widely-used in evaluation of TIS identification, the performances of the existing methods are assessed and discussed in this article. It is also interesting to discuss the relation between the algorithms and the understanding of prokaryotic translation initiation mechanism, which can enlighten us on the state-of-the-art studies of TIS prediction in bacterial and archaeal genomes.
机译:在完整的基因组序列快速增长的推动下,人们普遍认为基因组注释已主要采用自动方法。为了对细菌和古细菌基因组进行计算注释,对翻译起始位点(TIS)的准确预测对于定位基因的蛋白质编码区至关重要。因此,TIS预测已成为许多基因发现者和TIS加工者的挑战,导致对原核基因组注释中的TIS预测或校正以及翻译起始机制的最新研究。现在是时候让研究界回顾一下原核基因TIS的可用数学模型,以及在基因发现器中用于一系列当前TIS处理器和TIS预测模块的所得算法。实际上,TIS模型与翻译起始机制的知识一起得到了改进。总结了对原核基因组翻译起始机制的一些研究。本文使用了一些已广泛用于TIS识别评估的已公开数据集,对现有方法的性能进行了评估和讨论。讨论算法与对原核翻译起始机制的理解之间的关系也很有趣,这可以启发我们对细菌和古细菌基因组中TIS预测的最新研究。

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