Although the field of structural DNA nanotechnology has been advancing with an astonishing pace, de novo design of complex 3D nanostructures remains a laborious and time-consuming process. One reason for that is the need for multiple cycles of experimental characterization to elucidate the effect of design choices on the actual shape and function of the self-assembled objects. Here, we demonstrate a multi-resolution simulation framework, mrdna, that, in 30 minutes or less, can produce an atomistic-resolution structure of an arbitrary DNA nanostructure with accuracy on par with that of a cryo-electron microscopy (cryo-EM) reconstruction. We demonstrate fidelity of our mrdna framework through direct comparison of the simulation results with the results of cryo-EM reconstruction of multiple 3D DNA origami objects. Furthermore, we show that our approach can characterize an ensemble of conformations adopted by dynamic DNA nanostructures, the equilibrium structure and dynamics of DNA objects constructed using a self-assembly principle other than origami, i.e., wireframe DNA objects, and to study the properties of DNA objects under a variety of environmental conditions, such as applied electric field. Implemented as an open source Python package, our framework can be extended by the community and integrated with DNA design and molecular graphics tools.for pH 19 , voltage 20 and force 21 ; nanoscale containers 22,23 ; masks for nanolithography 24,25 ; and scaffolds for arranging nanotubes and nanoparticles 26,27 . Presently, gigadalton three-dimensional objects can be constructed through hierarchical self-assembly of DNA molecules 28,29 with singlenucleotide precision, which makes DNA nanostructures uniquely amenable for mastering spatial organization at the nanoscale 28,29 .Computational prediction of the in situ properties of DNA nanostructures can greatly facilitate the nanostructure design process. Several computational models of DNA nanostructures have been developed already, varying by the amount of detail provided by the computational description. On the coarse end of the spectrum, the CanDo finite element model 30 minimizes the mechanical stress within a DNA origami structure exerted by its pattern of crossovers to provide a fast estimate of its preferred conformation. At the opposite end of the spectrum, all-atom molecular dynamics (MD) simulations have been used to study the structure 31-33 , and conductance 34-37 of DNA nanostructures and channels at a much higher computational cost. In between, a number of general purpose coarse-grained (CG) models of DNA are available 38-41 , but only very few have been applied specifically to the study of DNA nanostructures 32,42,43 including the CG oxDNA 42 model and all-atom, implicit solvent ENRG-MD 32 methods.A major objective for computational models of DNA nanostructures is to give the designers quick feedback on the impact of their design choices. The models employed by the coarsest structure prediction tools may not adequately represent DNA, for example, to guide th...