title: Theoretical and computational models of biological ion channels.
abstract: The goal of this review is to establish a broad and rigorous theoretical framework to describe ion permeation through biological channels. This framework is developed in the context of atomic models on the basis of the statistical mechanical projection-operator formalism of Mori and Zwanzig. The review is divided into two main parts. The first part introduces the fundamental concepts needed to construct a hierarchy of dynamical models at different level of approximation. In particular, the potential of mean force (PMF) as a configuration-dependent free energy is introduced, and its significance concerning equilibrium and non-equilibrium phenomena is discussed. In addition, fundamental aspects of membrane electrostatics, with a particular emphasis on the influence of the transmembrane potential, as well as important computational techniques for extracting essential information from all-atom molecular dynamics (MD) simulations are described and discussed. The first part of the review provides a theoretical formalism to 'translate' the information from the atomic structure into the familiar language of phenomenological models of ion permeation. The second part is aimed at reviewing and contrasting results obtained in recent computational studies of three very different channels: the gramicidin A (gA) channel, which is a narrow one-ion pore (at moderate concentration), the KcsA channel from Streptomyces lividans, which is a narrow multi-ion pore, and the outer membrane matrix porin F (OmpF) from Escherichia coli, which is a trimer of three beta-barrel subunits each forming wide aqueous multi-ion pores. Comparison with experiments demonstrates that current computational models are approaching semi-quantitative accuracy and are able to provide significant insight into the microscopic mechanisms of ion conduction and selectivity. We conclude that all-atom MD with explicit water molecules can represent important structural features of complex biological channels accurately, including such features as the location of ion-binding sites along the permeation pathway. We finally discuss the broader issue of the validity of ion permeation models and an outlook to the future.
authors: Department of Biochemistry, Weill Medical College of Cornell University, 1300 York Avenue, New York, NY 10021, USA. benoit.roux@med.cornell.edu
authors: Benoît
authors: B
authors: Roux
authors: Toby
authors: T
authors: Allen
authors: Simon
authors: S
authors: Bernèche
authors: Wonpil
authors: W
authors: Im
mesh_terms: D001426:Bacterial Proteins / Q000737:chemistry; D001703:Biophysics / Q000379:methods*; D003198:Computer Simulation; D006096:Gramicidin / Q000737:chemistry; D007473:Ion Channels / Q000737:chemistry*; D007477:Ions / Q000737:chemistry; D008958:Models, Molecular; D015233:Models, Statistical; D008968:Molecular Conformation; D018272:Porins / Q000378:metabolism; D015221:Potassium Channels / Q000737:chemistry; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D012984:Software; D055672:Static Electricity; D013816:Thermodynamics
chemical_list: D001426:Bacterial Proteins; D007473:Ion Channels; D007477:Ions; C109237:OmpF protein; D018272:Porins; D015221:Potassium Channels; C107790:prokaryotic potassium channel; D006096:Gramicidin