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How the Artificial Intelligence Tool iRNA-PseU is Working in Predicting the RNA Pseudouridine Sites?

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  • Kuo Chen Chou

    (Gordon Life Science Institute, United States of America)

Abstract

In 2016 a very powerful AI (artificial intelligence) tool has been established for identifying RNA pseudouridine sites, which is one of the important post modifications in RNA [1]...

Suggested Citation

  • Kuo Chen Chou, 2020. "How the Artificial Intelligence Tool iRNA-PseU is Working in Predicting the RNA Pseudouridine Sites?," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(2), pages 18055-18064, January.
    • Handle: RePEc:abf:journl:v:24:y:2020:i:2:p:18055-18064
    DOI: 10.26717/BJSTR.2020.24.004016
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    References listed on IDEAS

    as
    1. Yan Xu & Jun Ding & Ling-Yun Wu & Kuo-Chen Chou, 2013. "iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-7, February.
    2. Yan Xu & Xin Wen & Li-Shu Wen & Ling-Yun Wu & Nai-Yang Deng & Kuo-Chen Chou, 2014. "iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-10, August.
    3. Wei-Zhong Lin & Jian-An Fang & Xuan Xiao & Kuo-Chen Chou, 2012. "Predicting Secretory Proteins of Malaria Parasite by Incorporating Sequence Evolution Information into Pseudo Amino Acid Composition via Grey System Model," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Biomedical Sciences; Biomedical Research; Technical Research;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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