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Tytuł:
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iRNA-m5U: A sequence based predictor for identifying 5-methyluridine modification sites in Saccharomyces cerevisiae.
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Autorzy:
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Feng P; School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611730, China.
Chen W; School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu 611730, China; Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611730, China; School of Life Sciences, North China University of Science and Technology, Tangshan 063000, China. Electronic address: .
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Źródło:
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Methods (San Diego, Calif.) [Methods] 2022 Jul; Vol. 203, pp. 28-31. Date of Electronic Publication: 2021 Apr 18.
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Typ publikacji:
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Journal Article; Research Support, Non-U.S. Gov't
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Język:
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English
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Imprint Name(s):
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Publication: Duluth, MN : Academic Press
Original Publication: San Diego : Academic Press, c1990-
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MeSH Terms:
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Saccharomyces cerevisiae*/genetics
Support Vector Machine*
Computational Biology/methods ; Transcriptome ; Uridine/analogs & derivatives
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Contributed Indexing:
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Keywords: 5-methyluridine; Feature representation; RNA modification; Support vector machine
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Substance Nomenclature:
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1463-10-1 (ribothymidine)
WHI7HQ7H85 (Uridine)
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Entry Date(s):
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Date Created: 20210421 Date Completed: 20220621 Latest Revision: 20220627
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Update Code:
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20240104
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DOI:
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10.1016/j.ymeth.2021.04.013
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PMID:
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33882361
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The 5-methyluridine (m 5 U)modification plays important roles in a series of biological processes. Accurate identification of m 5 U sites will be helpful to decode its biological functions. Although experimental techniques have been proposed to detect m 5 U, they are still expensive and time consuming. In the present work, a support vector machine based method, called iRNA-m5U, was developed to identify the m 5 U sites in the Saccharomyces cerevisiae transcriptome. The performance of iRNA-m5U was validated based on different datasets. The accuracies obtained by iRNA-m5U is promising, indicating that it holds the potential to become an useful tool for the identification of m 5 U sites.
(Copyright © 2021 Elsevier Inc. All rights reserved.)
