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DEEPre: sequence-based enzyme EC number prediction by deep learning

机译:Deepre:深度学习的基于序列的酶EC数预测

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摘要

Annotation of enzyme function has a broad range of applications, such as metagenomics, industrial biotechnology, and diagnosis of enzyme deficiency-caused diseases. However, the time and resource required make it prohibitively expensive to experimentally determine the function of every enzyme. Therefore, computational enzyme function prediction has become increasingly important. In this paper, we develop such an approach, determining the enzyme function by predicting the Enzyme Commission number.
机译:酶功能的注释具有广泛的应用,如偏见,工业生物技术和酶缺乏引起的疾病的诊断。 然而,所需的时间和资源使得实验确定每种酶的功能昂贵。 因此,计算酶功能预测变得越来越重要。 在本文中,我们开发了这种方法,通过预测酶委员会编号来确定酶功能。

著录项

  • 来源
    《Bioinformatics》 |2018年第5期|共10页
  • 作者单位

    KAUST CBRC Elect &

    Math Sci &

    Engn Div CEMSE Thuwal 239556900 Saudi Arabia;

    KAUST CBRC Elect &

    Math Sci &

    Engn Div CEMSE Thuwal 239556900 Saudi Arabia;

    KAUST CBRC Elect &

    Math Sci &

    Engn Div CEMSE Thuwal 239556900 Saudi Arabia;

    IIT Dept Comp Sci Chicago IL 60616 USA;

    Hangzhou Dianzi Univ Inst Biomed Engn &

    Instrumentat Hangzhou 310018 Zhejiang Peoples R China;

    Hangzhou Dianzi Univ Inst Biomed Engn &

    Instrumentat Hangzhou 310018 Zhejiang Peoples R China;

    KAUST CBRC Elect &

    Math Sci &

    Engn Div CEMSE Thuwal 239556900 Saudi Arabia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物工程学(生物技术);
  • 关键词

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