• DocumentCode
    55821
  • Title

    Studying the Role of Lipid Rafts on Protein Receptor Bindings with Cellular Automata

  • Author

    Haack, Fiete ; Burrage, Kevin ; Redmer, Ronald ; Uhrmacher, Adelinde M.

  • Author_Institution
    Modeling & Simulation Group, Univ. of Rostock, Rostock, Germany
  • Volume
    10
  • Issue
    3
  • fYear
    2013
  • fDate
    May-June 2013
  • Firstpage
    760
  • Lastpage
    770
  • Abstract
    It is widely accepted that lipid rafts promote receptor clustering and thereby facilitate signaling transduction. The role of lipid rafts in inducing and promoting receptor accumulation within the cell membrane has been explored by several computational and experimental studies. However, it remains unclear whether lipid rafts influence the recruitment and binding of proteins from the cytosol as well. To provide an answer to this question a spatial membrane model has been developed based on cellular automata. Our results indicate that lipid rafts indeed influence protein receptor bindings. In particular processes with slow dissociation and binding kinetics are promoted by lipid rafts, whereas fast binding processes are slightly hampered. However, the impact depends on a variety of parameters, such as the size and mobility of the lipid rafts, the induced slow down of receptors within rafts, and also the dissociation and binding kinetics of the cytosolic proteins. Thus, for any individual signaling pathway the influence of lipid rafts on protein binding might be different. To facilitate analyzing this influence given a specific pathway, our approach has been generalized into LiRaM, a modeling and simulation tool for lipid rafts models.
  • Keywords
    biochemistry; biology computing; biomembranes; cellular automata; cellular biophysics; dissociation; molecular biophysics; physiological models; proteins; LiRaM; binding kinetics; cell membrane; cellular automata; cytosolic proteins; dissociation; fast binding processes; individual signaling pathway; lipid raft mobility; lipid raft model; lipid raft size; modeling tool; protein receptor bindings; protein recruitment; receptor accumulation; receptor clustering; signaling transduction; simulation tool; spatial membrane model; specific pathway; Automata; Biological system modeling; Biomembranes; Computational modeling; Kinetic theory; Lipidomics; Proteins; Modeling and simulation; cellular automata; lipid rafts; receptor protein binding; spatial membrane dynamics;
  • fLanguage
    English
  • Journal_Title
    Computational Biology and Bioinformatics, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5963
  • Type

    jour

  • DOI
    10.1109/TCBB.2013.40
  • Filename
    6515125