Protein transport across nanopores: A statistical mechanical perspective from coarse-grained modeling and approaches (Articolo in rivista)

Type
Label
  • Protein transport across nanopores: A statistical mechanical perspective from coarse-grained modeling and approaches (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.2174/0929866521666131227160550 (literal)
Alternative label
  • Fabio Cecconi (a); Marco Bacci (b); Mauro Chinappi (c) (2014)
    Protein transport across nanopores: A statistical mechanical perspective from coarse-grained modeling and approaches
    in Protein and peptide letters (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Fabio Cecconi (a); Marco Bacci (b); Mauro Chinappi (c) (literal)
Pagina inizio
  • 227 (literal)
Pagina fine
  • 234 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.eurekaselect.com/119231/article (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 21 (literal)
Rivista
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  • 3 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • (a) CNR-Istituto Dei Sistemi Complessi, Via Dei Taurini 19, Roma, 00185, Italy (b) Dipartimento di Sistemi e Informatica, Engineering Division Università Degli Studi di Firenze Via Santa Marta 3, 50139 Firenze, Italy (c) Center for Life Nano Science Sapienza, Istituto Italiano di Tecnologia, Viale Regina Elena 291, 00161 Roma, Italy (literal)
Titolo
  • Protein transport across nanopores: A statistical mechanical perspective from coarse-grained modeling and approaches (literal)
Abstract
  • We survey the transport of proteins across nanopores in the framework of coarse-grained modeling. The advantage of a reduced complexity with respect to full-atomistic techniques lies in the possibility of massive sampling of events, thus allowing a statistical mechanical description of translocation in terms of ensemble averages. Often, protein transport through narrow channels tightly couples with unfolding pathways causing a richer phenomenology compared to unstructured polymer translocation. This reflects into a process controlled by the presence of protein-specific free-energy barriers which can be conveniently estimated by statistical mechanical methods implemented in coarse-grained simulations. We illustrate how protein transport dynamics can be characterized by the statistical properties of trajectories and sometimes interpreted as driven diffusion of a single collective coordinate over a free-energy landscape. We also discuss, through selected examples, the connection between reduced-model simulations and recent experimental results. (literal)
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