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• W4297992005 abstract "Bayesian regression is performed to infer parameters of thermodynamic binding models from isothermal titration calorimetry measurements in which the titrant is an enantiomeric mixture. For some measurements the posterior density is multimodal, indicating that additional data with a different protocol are required to uniquely determine the parameters. Models of increasing complexity—two-component binding, racemic mixture, and enantiomeric mixture—are compared using model selection criteria. To precisely estimate one of these criteria, the Bayes factor, a variation of bridge sampling is developed." @default.
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• W4297992005 date "2022-09-29" @default.
• W4297992005 modified "2023-10-14" @default.
• W4297992005 title "Bayesian regression and model selection for isothermal titration calorimetry with enantiomeric mixtures" @default.
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• W4297992005 doi "https://doi.org/10.1371/journal.pone.0273656" @default.
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