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Giant Vesicles as Compartmentalized Bio-reactors: A 3D Modelling Approach

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Advances in Artificial Life, Evolutionary Computation and Systems Chemistry (WIVACE 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 587))

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Abstract

Giant lipid vesicles have been extensively used in recent years as in vitro artificial models for protocells, i.e. primitive cell models or synthetic cell-like systems of minimal complexity. Due to their dimensions in the micrometer range, giant vesicles can be designed as micro-sized enzymatic chemical reactors fed by a flux of substrates from the outside and monitored by confocal light microscopy in order to follow the production of fluorescence compounds. In this paper we present a 3D modelling approach to the simulation of giant vesicle where enzymatic reactions take place, and we apply this approach to a case study of a three-enzymes metabolic pathway.

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Author information

Authors and Affiliations

  1. Chemistry Department, Aldo Moro University, Via Orabona 4, 70125, Bari, Italy

    Fabio Mavelli & Emiliano Altamura

  2. Science Department, Roma Tre University, Viale G. Marconi 446, 00146, Rome, Italy

    Pasquale Stano

Authors
  1. Fabio Mavelli
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  2. Emiliano Altamura
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  3. Pasquale Stano
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Corresponding author

Correspondence to Fabio Mavelli .

Editor information

Editors and Affiliations

  1. Department of Chemistry and Biology, University of Salerno, Fisciano, Italy

    Federico Rossi

  2. Department of Chemistry, University of Bari, Bari, Italy

    Fabio Mavelli

  3. Science Department, Roma Tre University, Roma, Italy

    Pasquale Stano

  4. Department of Informatics, University of Bari, Bari, Italy

    Danilo Caivano

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Mavelli, F., Altamura, E., Stano, P. (2016). Giant Vesicles as Compartmentalized Bio-reactors: A 3D Modelling Approach. In: Rossi, F., Mavelli, F., Stano, P., Caivano, D. (eds) Advances in Artificial Life, Evolutionary Computation and Systems Chemistry. WIVACE 2015. Communications in Computer and Information Science, vol 587. Springer, Cham. https://doi.org/10.1007/978-3-319-32695-5_17

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  • DOI: https://doi.org/10.1007/978-3-319-32695-5_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32694-8

  • Online ISBN: 978-3-319-32695-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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