ArticlePloS one2022
Bayesian regression and model selection for isothermal titration calorimetry with enantiomeric mixtures.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Multiple data set Bayesian analysis synergistically boosts ITC parameter precision.Biophysical journal · 2026Article
- Enzyme kinetics model for the coronavirus main protease including dimerization and ligand binding.Biophysical journal · 2025Article
- Improving parameter inference by resolving Bayesian prior ambiguity via multi-dataset analysis: Application to isothermal titration calorimetry.bioRxiv : the preprint server for biology · 2025Article
- Bayesian Mechanistic Inference, Statistical Mechanics, and a New Era for Monte Carlo.Journal of chemical theory and computation · 2024Review
- Quantifying cooperative multisite binding in the hub protein LC8 through Bayesian inference.PLoS computational biology · 2023Article
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4 authors.
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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.
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