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Merge pull request #90 from MobleyLab/post_edits
Improve discussion of entropy, charge screening
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paper/basic_training.pdf

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paper/basic_training.tex

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@@ -302,7 +302,8 @@ \subsubsection{Key concepts}
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Because equilibrium behavior is caused by dynamics, there is a fundamental connection between rates and equilibrium, namely that $\peq_A k_{AB} = \peq_B k_{BA}$, which is a consequence of ``detailed balance''.
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There is a closely related connection for on- and off-rates with the binding equilibrium constant.
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For a \emph{continuous} coordinate (e.g., the distance between two residues in a protein), the probability-determining free energy is called the ``potential of mean force'' (PMF); the Boltzmann factor of a PMF gives the relative probability of a given coordinate.
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Any kind of free energy implicitly includes \emph{entropic} effects; in terms of an energy landscape (Fig.\ \ref{landscapes}), the entropy quantifies the \emph{width} of a basin.
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Any kind of free energy implicitly includes \emph{entropic} effects; in terms of an energy landscape (Fig.\ \ref{landscapes}), the entropy describes the \emph{width} of a basin or the number of arrangements a system can have within a particular state.
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One way to think of this it is that entropy of a state relates to the \emph{volume} of 6N-dimensional phase space that the state occupies, which in the one-dimensional case is just the \emph{width}.
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These points are discussed in textbooks, as are the differences between free energies for different thermodynamic ensembles -- e.g.., $F$, the Helmholtz free energy, when $T$ is constant, and $G$, the Gibbs free energy, when both $T$ and pressure are constant -- which are not essential to our introduction~\cite{DillBook, Zuckerman:2010:}.
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A final essential topic is the difference between equilibrium and non-equilibrium systems.
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The Ewald method is based on (temporarily) replacing the point charge distributions by smooth charge distributions in order to apply existing numerical techniques to solve this partial differential equation (PDE).
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The most common smooth function used in the Ewald method is the Gaussian distribution, although other distributions have been used as well.
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Thus the overall charge distribution is divided into a short-range or ``direct space'' component ($\rho^{sr}$) involving the original point charges screened by the Gaussian-distributed charge of the same magnitude (Figure~\ref{fig:screening}) but opposite sign, and a long-range component involving Gaussian-distributed charges of the original sign ($\rho^{lr}$).
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The screening distribution is of opposite sign to allow the screened interactions to fall off rapidly with distance, as we will see below.
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The sum of the short-range $\rho^{sr}$ and the long-range $\rho^{lr}$ charge distributions is still the same as the original charge distribution.
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\begin{figure}[h]
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\centering

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