Bayesian analysis of isothermal titration calorimetry for binding thermodynamics

Trung Hai Nguyen, Arien S. Rustenburg, Stefan G. Krimmer, Hexi Zhang, John D. Clark, Paul A. Novick, Kim Branson, Vijay S. Pande, John D Chodera, David D. L. Minh.
PLoS One 13:e0203224, 2018[DOI] [bioRxiv] [GitHub]

We show how Bayesian inference can produce greatly improved estimates of statistical uncertainty from isothermal titration calorimetry (ITC) experiments, allowing the joint distribution of thermodynamic parameter uncertainties to be inferred.

Avoiding accuracy-limiting pitfalls in the study of protein-ligand interactions with isothermal titration calorimetry

Sarah E. Boyce, Joel Tellinghuisen, and John D. Chodera.
Manuscript prior to submission. [bioRxiv] [PDF]
Supplementary files: ITC worksheet [PDF] [XLSX] [ODS]
doi:10.1101/023796

We show how to avoid common accuracy-limiting mistakes in isothermal titration calorimetry, and provide a simple spreadsheet to aid in propagating the dominant source of uncertainty (titrant concentration errors) into the resulting thermodynamic parameters.

Keywords: isothermal titration calorimetry; ITC; propagation of error; entropy-enthalpy compensation