PloS one, 2022-09, Vol.17 (9), p.e0273656
2022
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Details
- Autor(en) / Beteiligte
- Titel
- Bayesian regression and model selection for isothermal titration calorimetry with enantiomeric mixtures
- Ist Teil von
- PloS one, 2022-09, Vol.17 (9), p.e0273656
- Ort / Verlag
- United States: Public Library of Science
- Erscheinungsjahr
- 2022
- Quelle
- MEDLINE
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1932-6203eISSN: 1932-6203DOI: 10.1371/journal.pone.0273656Titel-ID: cdi_plos_journals_2719396997
- Format
- –
- Schlagworte
- Analysis, Bayes Theorem, Bayesian analysis, Bayesian statistical decision theory, Binding, Calorimetry, Chemical reactions, Confidence intervals, Criteria, Enzymes, Evaluation, Heat measurement, Ligands, Mathematical models, Mixtures, Modelling, Parameters, Physical Sciences, Propagation, Regression models, Research and analysis methods, Software packages, Thermodynamics, Titration, Titration calorimetry