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