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Methods for the accurate estimation of confidence intervals on protein folding -values

¹ Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland 21205, USA
² Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, University of Chicago, Chicago, Illinois 60637, USA
³ Department of Chemistry and Biochemistry, and Interdepartmental Program in Biomolecular Science and Engineering, University of California, Santa Barbara, California 93106, USA

(RECEIVED March 21, 2006; FINAL REVISION July 21, 2006; ACCEPTED July 25, 2006)

-Values provide an important benchmark for the comparison of experimental protein folding studies to computer simulations and theories of the folding process. Despite the growing importance of measurements, however, formulas to quantify the precision with which is measured have seen little significant discussion. Moreover, a commonly employed method for the determination of standard errors on estimates assumes that estimates of the changes in free energy of the transition and folded states are independent. Here we demonstrate that this assumption is usually incorrect and that this typically leads to the underestimation of precision. We derive an analytical expression for the precision of estimates (assuming linear chevron behavior) that explicitly takes this dependence into account. We also describe an alternative method that implicitly corrects for the effect. By simulating experimental chevron data, we show that both methods accurately estimate confidence intervals. We also explore the effects of the commonly employed techniques of calculating from kinetics estimated at non-zero denaturant concentrations and via the assumption of parallel chevron arms. We find that these approaches can produce significantly different estimates for (again, even for truly linear chevron behavior), indicating that they are not equivalent, interchangeable measures of transition state structure. Lastly, we describe a Web-based implementation of the above algorithms for general use by the protein folding community.

Keywords: protein folding; transition state; -value; free energy; estimate; standard error

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