MERGE-RNA uses maximum-entropy modeling of the DMS probing pipeline to learn a small set of transferable parameters that predict RNA secondary structure ensembles matching experimental reactivity better than standard pseudo-free-energy approaches.
Bayesian ensemble refinement by replica simulations and reweighting.The Journal of Chemical Physics, 143(24):243150, December 2015
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MERGE-RNA: a physics-based model to predict RNA secondary structure ensembles with chemical probing
MERGE-RNA uses maximum-entropy modeling of the DMS probing pipeline to learn a small set of transferable parameters that predict RNA secondary structure ensembles matching experimental reactivity better than standard pseudo-free-energy approaches.