Massively parallel simulation datasets have yielded a variety of new observations that were previously difficult to observe. Perhaps the most well known is the observation of a millisecond-timescale folding event in 2010 . Markov state models (MSMs) have been shown to quantitatively agree with experimental measurements . Particularly, there is excellent agreement between microsecond-scale simulations and the properties of systems measured with NMR and room-temperature crystallography . Furthermore, simulations have been used to interpret the impact of mutations on diseases such as phenylketonuria and characterize the landscapes of a variety of disease-relevant proteins . Folding@home and MSMs have also allowed researcher to assess larger families Chapter of protein homologs, showing that protein superfamilies may have distinct mechanochemical properties defined by only a few amino acid differences, or that homologs with diverse sequences and biochemical properties all share a universal allosteric networks. .