Deep learning analysis of binding behavior of virus displayed peptides to AuNPs

Haebom Lee*, Jun Jo, Yong Oh Lee, Korkmaz Zirpel Nuriye, Leon Abelmann

*Corresponding author for this work

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

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    Abstract

    Filamentous fd viruses have been used as biotemplates to develop nano sized carriers for biomedical applications. Genetically modified fd viruses with enhanced gold binding properties have been previously obtained by displaying gold binding peptides on viral coat proteins. In order to generate a stable colloidal system of dispersed viruses decorated with AuNPs avoiding aggregation, the underlying binding mechanism of AuNP-peptide interaction should be explored. In this paper, we therefore propose a macro scale self-assembly experiment using 3D printed models of AuNP and the virus to extend our understanding of Au binding process. Moreover, we present our image analysis algorithm which combines image processing techniques and deep learning to automatically examine the coupling state of the particles.

    Original languageEnglish
    Title of host publicationPractical Applications of Computational Biology and Bioinformatics, 12th International Conference
    EditorsFlorentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel Rocha, Juan F. De Paz, Pascual Gonzalez
    PublisherSpringer
    Pages97-104
    Number of pages8
    ISBN (Print)9783319987019
    DOIs
    Publication statusPublished - 17 Aug 2018
    Event12th International Conference on Practical Applications of Computational Biology and Bioinformatics, 2018 - Toledo, Spain
    Duration: 20 Jun 201822 Jun 2018
    Conference number: 12

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume803
    ISSN (Print)2194-5357

    Conference

    Conference12th International Conference on Practical Applications of Computational Biology and Bioinformatics, 2018
    Abbreviated titlePACBB 2018
    CountrySpain
    CityToledo
    Period20/06/1822/06/18

    Keywords

    • Deep learning
    • Genetic engineering
    • Gold
    • Phage display

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  • Cite this

    Lee, H., Jo, J., Lee, Y. O., Nuriye, K. Z., & Abelmann, L. (2018). Deep learning analysis of binding behavior of virus displayed peptides to AuNPs. In F. Fdez-Riverola, M. S. Mohamad, M. Rocha, J. F. De Paz, & P. Gonzalez (Eds.), Practical Applications of Computational Biology and Bioinformatics, 12th International Conference (pp. 97-104). (Advances in Intelligent Systems and Computing; Vol. 803). Springer. https://doi.org/10.1007/978-3-319-98702-6_12