Bioactivity prediction using convolutional neural network

Hentabli Hamza*, Maged Nasser, Naomie Salim, Faisal Saeed

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (SciVal)
    Original languageEnglish
    Title of host publicationEmerging Trends in Intelligent Computing and Informatics - Data Science, Intelligent Information Systems and Smart Computing
    EditorsFaisal Saeed, Fathey Mohammed, Nadhmi Gazem
    PublisherSpringer
    Pages341-351
    Number of pages11
    ISBN (Print)9783030335816
    DOIs
    Publication statusPublished (VoR) - 2020
    Event4th International Conference of Reliable Information and Communication Technology, IRICT 2019 - Johor Bahru, Malaysia
    Duration: 22 Sept 201923 Sept 2019

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume1073
    ISSN (Print)2194-5357
    ISSN (Electronic)2194-5365

    Conference

    Conference4th International Conference of Reliable Information and Communication Technology, IRICT 2019
    Country/TerritoryMalaysia
    CityJohor Bahru
    Period22/09/1923/09/19

    Funding

    This work is supported by the Ministry of Higher Education (MOHE) and the Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under the Research University Grant Category (VOT Q.J130000.2528.16H74 and R. J130000.7828.4F985). Acknowledgment. This work is supported by the Ministry of Higher Education (MOHE) and the Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under the Research University Grant Category (VOT Q.J130000.2528.16H74 and R. J130000.7828.4F985).

    FundersFunder number
    Research Management Centre
    Ministry of Higher Education
    Ministry of Higher Education, Malaysia
    Universiti Teknologi MalaysiaR. J130000.7828.4F985, VOT Q.J130000.2528.16H74

      Keywords

      • Activity prediction model
      • Bioactive molecules
      • Biological activities
      • Convolutional neural network
      • Deep learning

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