Minimalist Model of Protein Diffusion and Interactions: The Green Fluorescent Protein within the Cytoplasm (Articolo in rivista)

Type
Label
  • Minimalist Model of Protein Diffusion and Interactions: The Green Fluorescent Protein within the Cytoplasm (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1021/ma401843h (literal)
Alternative label
  • F. Trovato [1,3], R. Nifosì [2,3], A. Di Fenza [3], and V. Tozzini [2,3] (2013)
    Minimalist Model of Protein Diffusion and Interactions: The Green Fluorescent Protein within the Cytoplasm
    in Macromolecules (Online); American Chemical Society, Washington, DC (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • F. Trovato [1,3], R. Nifosì [2,3], A. Di Fenza [3], and V. Tozzini [2,3] (literal)
Pagina inizio
  • 8311 (literal)
Pagina fine
  • 8322 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 46 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1 Center for Nanotechnology and Innovation @ NEST-Istituto Italiano di Tecnologia, 56127 Pisa, Italy 2 NEST- Istituto Nanoscienze, CNR, 56127 Pisa, Italy 3 Scuola Normale Superiore, Piazza San Silvestro 12, 56127 Pisa, Italy 4 MGU, MRC Harwell, Harwell Science and Innovation Campus, Oxfordshire OX11 0RD, U.K. (literal)
Titolo
  • Minimalist Model of Protein Diffusion and Interactions: The Green Fluorescent Protein within the Cytoplasm (literal)
Abstract
  • In this work, we present a minimalist model (one-bead-per-amino acid resolution) of a tracer protein (the green fluorescent protein) embedded in a meso scale cytoplasm (one-bead-per-crowder) for molecular dynamics simulations. The extremely low computational cost of the model allows a statistically relevant exploration of the tracer diffusive dynamics. The accurate description of diffusion and interactions is maintained by means of a careful choice of the functional forms and parameters of the force field terms, optimized by means of a semiheuristic strategy involving the use of a genetic algorithm. Consequently, the model is capable of implicitly reincluding some effects lost in the coarse graining, such as the shape effects (for crowders), hydrodynamics and correlations, hydration/dehydration and interaction specificity (for the tracer). The result is an accurate representation of the multiscale dynamics of the tracer, involving its internal flexibility, specific protein-protein interactions and diffusion. (literal)
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