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Combinatorial entropy behaviour leads to range selective binding in ligand-receptor interactions

Author

Listed:
  • Meng Liu

    (Beijing University of Chemical Technology
    Chinese Academy of Science)

  • Azzurra Apriceno

    (University College London
    University College London)

  • Miguel Sipin

    (University College London
    University College London)

  • Edoardo Scarpa

    (University College London
    University College London)

  • Laura Rodriguez-Arco

    (University College London
    University College London)

  • Alessandro Poma

    (University College London)

  • Gabriele Marchello

    (University College London
    University College London
    The UCL EPSRC/JEOL Centre for Liquid Phase Electron Microscopy)

  • Giuseppe Battaglia

    (University College London
    University College London
    The UCL EPSRC/JEOL Centre for Liquid Phase Electron Microscopy
    The Barcelona Institute for Science and Technology (BIST))

  • Stefano Angioletti-Uberti

    (Chinese Academy of Science
    Imperial College London)

Abstract

From viruses to nanoparticles, constructs functionalized with multiple ligands display peculiar binding properties that only arise from multivalent effects. Using statistical mechanical modelling, we describe here how multivalency can be exploited to achieve what we dub range selectivity, that is, binding only to targets bearing a number of receptors within a specified range. We use our model to characterise the region in parameter space where one can expect range selective targeting to occur, and provide experimental support for this phenomenon. Overall, range selectivity represents a potential path to increase the targeting selectivity of multivalent constructs.

Suggested Citation

  • Meng Liu & Azzurra Apriceno & Miguel Sipin & Edoardo Scarpa & Laura Rodriguez-Arco & Alessandro Poma & Gabriele Marchello & Giuseppe Battaglia & Stefano Angioletti-Uberti, 2020. "Combinatorial entropy behaviour leads to range selective binding in ligand-receptor interactions," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18603-5
    DOI: 10.1038/s41467-020-18603-5
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    Cited by:

    1. Tiantian Yang & Aohua Wang & Di Nie & Weiwei Fan & Xiaohe Jiang & Miaorong Yu & Shiyan Guo & Chunliu Zhu & Gang Wei & Yong Gan, 2022. "Ligand-switchable nanoparticles resembling viral surface for sequential drug delivery and improved oral insulin therapy," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    2. Mengying Liu & Liane Z. X. Huang & Anthony A. Smits & Christian Büll & Yoshiki Narimatsu & Frank J. M. Kuppeveld & Henrik Clausen & Cornelis A. M. Haan & Erik Vries, 2022. "Human-type sialic acid receptors contribute to avian influenza A virus binding and entry by hetero-multivalent interactions," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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