Ion channels are fundamental biological devices that act as gates in order to ensure selective ion transport across cellular membranes; their operation constitutes the molecular mechanism through which basic biological functions, such as nerve signal transmission and muscle contraction, are carried out. Here, we review recent results in the field of computational research on ion channels, covering theoretical advances, state-of-the-art simulation approaches, and frontline modeling techniques. We also report on few selected applications of continuum and atomistic methods to characterize the mechanisms of permeation, selectivity, and gating in biological and model channels.

Computational methods and theory for ion channel research / Guardiani, C; Cecconi, F; Chiodo, L; Cottone, G; Malgaretti, P; Maragliano, L; Barabash, M L; Camisasca, G; Ceccarelli, M; Corry, B; Roth, R; Giacomello, A; Roux, B. - In: ADVANCES IN PHYSICS: X. - ISSN 2374-6149. - 7:1(2022). [10.1080/23746149.2022.2080587]

Computational methods and theory for ion channel research

Guardiani, C;Camisasca, G;Giacomello, A
;
2022

Abstract

Ion channels are fundamental biological devices that act as gates in order to ensure selective ion transport across cellular membranes; their operation constitutes the molecular mechanism through which basic biological functions, such as nerve signal transmission and muscle contraction, are carried out. Here, we review recent results in the field of computational research on ion channels, covering theoretical advances, state-of-the-art simulation approaches, and frontline modeling techniques. We also report on few selected applications of continuum and atomistic methods to characterize the mechanisms of permeation, selectivity, and gating in biological and model channels.
2022
Ion channels; biomimetic nanopores; conductance; continuum models; gating; machine learning; molecular dynamics; rare events; selectivity
01 Pubblicazione su rivista::01a Articolo in rivista
Computational methods and theory for ion channel research / Guardiani, C; Cecconi, F; Chiodo, L; Cottone, G; Malgaretti, P; Maragliano, L; Barabash, M L; Camisasca, G; Ceccarelli, M; Corry, B; Roth, R; Giacomello, A; Roux, B. - In: ADVANCES IN PHYSICS: X. - ISSN 2374-6149. - 7:1(2022). [10.1080/23746149.2022.2080587]
File allegati a questo prodotto
File Dimensione Formato  
Guardiani_Computational-methods_2022.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 9.3 MB
Formato Adobe PDF
9.3 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1659725
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 7
social impact