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\name{John D. Chodera}
\telephone{415.867.7384}
\email{jchodera@berkeley.edu}
%\department{Department of Chemistry}
%\fromaddress{QB3 Institute}
%260J Stanley Hall #3220\\
%University of California\\
%Berkeley, CA 94720-3220}
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\date{\today}

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%\address{
%John D. Chodera\\
%QB3 Institute\\
%260J Stanley Hall \#3220\\
%University of California\\
%Berkeley, CA 94720-3220, USA \\
%phone: 415.867.7384\\
%email: \href{mailto:jchodera@berkeley.edu}{jchodera@berkeley.edu}\\
%\name{John D. Chodera}
%}

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\signature{\resizebox{1.5in}{!}{\includegraphics{JDC-signature}} \\
John D.~Chodera, on behalf of the corresponding author, Vijay S.~Pande
} 

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%\begin{letter}{To:\\MFPL Faculty Search Committee}
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%\opening{Dear Search Committee,}


\begin{document}
\begin{letter}{Peter Adams, Editor\\
\emph{Physical Review Letters}}

\small

\opening{Dear Editor,}

We are submitting our manuscript:

{\bf A robust approach to estimating rates from time-correlation functions}\\
by John D.~Chodera, Phillip J.~Elms, William C.~Swope, Jan-Hendrik Prinz, Susan Marqusee, Carlos Bustamante, Frank No\'{e}, and Vijay S.~Pande.

This manuscript deals with the issue of estimating rate constants from single-molecule experimental data and computer simulations, and the surprising failure of na\"{i}ve approaches to rate estimation based on standard threshold-crossing or mean lifetimes to yield accurate, robust estimates of rates from single-molecule experiments.
We show how Chandler's reactive flux theory, which forms much of the basis for robust estimation of rates in computer experiments, can provide robust estimates of rates from single-molecule data, which to our knowledge is the first such application of this theory to single-molecule experiments.
We also present a new rate theory closely more closely related to the approach used in estimating rate constants for Markov state models of molecular dynamics that provides yet more robust estimates than reactive flux theory when practical experimental considerations such as finite sampling rates are considered.

We believe the universality of the problem of rate estimation and the novelty of application of these robust rate estimators to single-molecule data will make this manuscript of great interest to the readers of \emph{PRL}.

Appropriate reviewers of this work include the following:
\begin{itemize}
  \item Gerhard Hummer (NIH) - \url{gerhard.hummer@nih.gov} or Attila Szabo (NIH) - \url{attilas@nih.gov}
  \item Peter Bolhuis (Universiteit van Amsterdam)- \url{p.g.bolhuis@uva.nl}  
  \item Arthur Voter - \url{afv@lanl.gov}
  \item Felix Ritort (University of Barcelona) - \url{ritort@ffn.ub.es}  
  \item Robert Best (University of Cambridge) - \url{rbb24@cam.ac.uk}
  \item Steven M Block (Stanford) - \url{sblock@stanford.edu}
  \item Aaron Dinner (University of Chicago) - \url{dinner@uchicago.edu}
  \item Michael Woodside (University of Alberta) - \url{michael.woodside@nrc-cnrc.gc.ca}
  \item Baron Peters - \url{baronp@engineering.ucsb.edu}
\end{itemize}

\closing{Kind regards,}
\end{letter}
\end{document}
