Decades of study of the architecture and function of structured RNAs have led to the perspective that RNA tertiary structure is modular, made of locally stable domains that retain their structure across RNAs. We formalize a hypothesis inspired by this modularity-that RNA folding thermodynamics and kinetics can be quantitatively predicted from separable energetic contributions of the individual components of a complex RNA. This reconstitution hypothesis considers RNA tertiary folding in terms of ΔG align , the probability of aligning tertiary contact partners, and ΔG tert , the favorable energetic contribution from the formation of tertiary contacts in an aligned state. This hypothesis predicts that changes in the alignment of tertiary contacts from different connecting helices and junctions (ΔG HJH ) or from changes in the electrostatic environment (ΔG +/− ) will not affect the energetic perturbation from a mutation in a tertiary contact (ΔΔG tert ). Consistent with these predictions, single-molecule FRET measurements of folding of model RNAs revealed constant ΔΔG tert values for mutations in a tertiary contact embedded in different structural contexts and under different electrostatic conditions. The kinetic effects of these mutations provide further support for modular behavior of RNA elements and suggest that tertiary mutations may be used to identify rate-limiting steps and dissect folding and assembly pathways for complex RNAs. Overall, our model and results are foundational for a predictive understanding of RNA folding that will allow manipulation of RNA folding thermodynamics and kinetics. Conversely, the approaches herein can identify cases where an independent, additive model cannot be applied and so require additional investigation.RNA folding | single-molecule FRET | RNA tertiary structure | folding kinetics | folding thermodynamics S tructured RNAs are integral to many biological processes, including translation, genome maintenance, and the regulation of gene expression (1, 2). These processes require RNA to fold into intricate 3D structures and to undergo a series of structural transitions (3, 4). As such, an important goal has been to characterize these states, in terms of their conformations and the rates and equilibria that describe the transitions between them (5-8). A more distant but ultimately far-reaching challenge is to quantitatively predict the kinetics and thermodynamics of RNA transitions, an accomplishment that would demonstrate fundamental understanding and effectuate engineering of these systems.Quantitative analyses of the melting temperatures for nucleic acid duplexes led to predictive rules for RNA secondary structure stability, known as nearest neighbor or Turner rules, such that the energetics of helix formation can be predicted by considering only the identity of each base pair, the identity of its immediate neighbors, and the salt concentration (9-11). In this model, the energetic contribution of each base pair step is additive and can be summed to predict the free energy to a...