Solution state x-ray diffraction fingerprinting is demonstrated as a method for experimentally assessing the accuracy of molecular dynamics (MD) simulations. Fourier transforms of coordinate data from MD simulations are used to produce reciprocal space ''fingerprints'' of atomic pair distance correlations that are characteristic of the ensemble and are the direct numerical analogues of experimental solution x-ray diffraction (SXD). SXD experiments and MD simulations were carried out to test the ability of experiment and simulation to resolve sequence-dependent modifications in helix conformation for B-form DNA. SXD experiments demonstrated that solution-state poly(AT) and poly(A)-poly(T) duplex DNA sequences exist in ensembles close to canonical B-form and B -form structures, respectively. In contrast, MD simulations analyzed in terms of SXD fingerprints are shown to deviate from experiment, most significantly for poly(A)-poly(T) duplex DNA. Compared with experiment, MD simulation shortcomings were found to include both mismatches in simulated conformer structures and number population within the ensembles. This work demonstrates an experimental approach for quantitatively evaluating MD simulations and other coordinate models to simulate biopolymer structure in solution and suggests opportunities to use solution diffraction data as experimental benchmarks for developing supramolecular force fields optimized for a range of in situ applications. solution x-ray scattering ͉ wide-angle x-ray scattering ͉ A-tract DNA ͉ structural landscape C haracterization of the structure and dynamics of biological macromolecules in liquids and other physiologically relevant noncrystalline media is critical for achieving a full understanding of chemical and biological function at the molecular level (1, 2). Molecular dynamics (MD) simulations based on molecular mechanical force fields and Ewald-type treatments for the long-range electrostatic interactions have been remarkably successful in simulating the general features of DNA sequence-dependent conformations, conformational transitions, and nucleic acid-drug interactions (3-5). However, variances in the details of simulated DNA structure based on choice of force fields and simulation conditions (4, 6) suggest levels of uncertainty in the prediction of DNA structure that are likely to undermine attempts to understand function at the atomic scale.A general problem for the evaluation of MD simulation is the lack of a sufficient experimental database on solution-state DNA structure. Crystal-packing distortions of DNA and the intrinsic lack of long-range structural data from NMR measurements restricts the reliable database on DNA structure to local structural parameters (7,8). It is an open question whether force fields focused primarily on local structure parameters are sufficient to accurately model the full range of DNA conformational landscapes in solution.Recently, a number of reports have shown that wide-angle x-ray scattering provides a direct measure of macromolecular conforma...