  Many biomolecules have flexible structures, requiring distributional
estimates of their conformations. Experiments to acquire distributional data
typically measure pairs of labels separately, losing information on the joint
distribution. These data are assumed independent when estimating the
conformational ensemble. We developed a method to estimate the true joint
distribution from separately acquired measurements, testing it on two
biological systems. This method accurately reproduces the joint distribution
where known and generates testable predictions about complex conformational
ensembles.
