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computer modeling in molecular biology.pdf

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6 Theory of Transport <strong>in</strong> Ion Channels 137ogy is to serve as a bridge between the microscopic model and the macroscopicobservables. In the case of ion channels, Eyr<strong>in</strong>g Rate Theory [52] and Nernst-Planckdiffusion [53] provide an effective conceptual framework to make full use of the <strong>in</strong>formationgathered from the <strong>molecular</strong> dynamics simulations.The goal of this chapter is to provide an <strong>in</strong>troduction to the modern <strong>molecular</strong>dynamics simulation techniques that are particularly useful <strong>in</strong> theoretical studies ofion channels. The chapter is divided <strong>in</strong> 4 sections. The phenomenological theoriestraditionally used to describe experimental data are briefly <strong>in</strong>troduced <strong>in</strong> Section 6.2.The general methodology applied to the gramicid<strong>in</strong> channel is expla<strong>in</strong>ed <strong>in</strong> Section6.3. The chapter is concluded with an outlook at future applications <strong>in</strong> Section6.4.6.2 Traditional Phenomenological DescriptionsTraditional approaches, such as Eyr<strong>in</strong>g Rate Theory (ERT) [52], or the Nernst-Planck (NP) cont<strong>in</strong>uum diffusion equation [53], are useful phenomenological toolsto account for the experimentally observed current-voltage relation, i[A 4 [l]. Bothapproaches describe the movements of ions across membrane channels as chaoticrandom displacements driven by an electrochemical free energy potential, ’ W,,, (x).ERT describes the movements of ions as a sequence of sudden stochastic “hopp<strong>in</strong>gevents” across barriers separat<strong>in</strong>g energetically favorable discrete wells [52] ; <strong>in</strong> contrast,the one-dimensional NP equation describes the movements of ions along theaxis of the channel as a random cont<strong>in</strong>uous diffusion process [53]. ERT models areexpressed <strong>in</strong> terms of a set of equations relat<strong>in</strong>g the net stationary flux, J, and theoccupation probability of the i-th and i + 1-th sites, Pi and Pi+l,where ki and are forward and backward jump rates, respectively [52]. It isgenerally assumed that the rates have an Arrhenius-like form with a voltage-<strong>in</strong>dependentdynamical pre-exponential frequency factor, Fp [52, 581,where W,,, (xi) and wot (xL) are the electrochemical free energy at the i-th barrierand well, respectively. Similarly, the NP equation relates the net stationary flux, J,to the probability density per unit length, P(x),

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