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iDNA6mA-PseKNC:通过将核苷酸理化性质纳入 PseKNC 来鉴定 DNA N6-甲基腺苷位点。

iDNA6mA-PseKNC: Identifying DNA N-methyladenosine sites by incorporating nucleotide physicochemical properties into PseKNC.

机构信息

Hebei Province Key Laboratory of Occupational Health and Safety for Coal Industry, School of Public Health, North China University of Science and Technology, Tangshan 063000, China.

Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.

出版信息

Genomics. 2019 Jan;111(1):96-102. doi: 10.1016/j.ygeno.2018.01.005. Epub 2018 Jan 31.

Abstract

N-methyladenine (6mA) is one kind of post-replication modification (PTM or PTRM) occurring in a wide range of DNA sequences. Accurate identification of its sites will be very helpful for revealing the biological functions of 6mA, but it is time-consuming and expensive to determine them by experiments alone. Unfortunately, so far, no bioinformatics tool is available to do so. To fill in such an empty area, we have proposed a novel predictor called iDNA6mA-PseKNC that is established by incorporating nucleotide physicochemical properties into Pseudo K-tuple Nucleotide Composition (PseKNC). It has been observed via rigorous cross-validations that the predictor's sensitivity (Sn), specificity (Sp), accuracy (Acc), and stability (MCC) are 93%, 100%, 96%, and 0.93, respectively. For the convenience of most experimental scientists, a user-friendly web server for iDNA6mA-PseKNC has been established at http://lin-group.cn/server/iDNA6mA-PseKNC, by which users can easily obtain their desired results without the need to go through the complicated mathematical equations involved.

摘要

N6-甲基腺嘌呤(6mA)是一种广泛存在于各种 DNA 序列中的复制后修饰(PTM 或 PTRM)。准确识别其位点将有助于揭示 6mA 的生物学功能,但仅通过实验确定它们的位点既耗时又昂贵。不幸的是,到目前为止,还没有可用的生物信息学工具来实现这一目标。为了填补这一空白领域,我们提出了一种名为 iDNA6mA-PseKNC 的新型预测器,它是通过将核苷酸理化性质纳入伪 K-元核苷酸组成(PseKNC)建立的。通过严格的交叉验证观察到,该预测器的灵敏度(Sn)、特异性(Sp)、准确性(Acc)和稳定性(MCC)分别为 93%、100%、96%和 0.93。为了方便大多数实验科学家,我们在 http://lin-group.cn/server/iDNA6mA-PseKNC 上建立了一个易于使用的 iDNA6mA-PseKNC 网络服务器,用户可以轻松地获得他们想要的结果,而无需经历涉及的复杂数学方程。

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