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bioRxiv (Cold Spring Harbor Laboratory)
Improving parameter inference by resolving Bayesian prior ambiguity via multi-dataset analysis: Application to isothermal titration calorimetry
July 2025 • Lisa Arndt, Douglas R. Walker, Elisar Barbar, Daniel M. Zuckerman
Abstract Isothermal titration calorimetry (ITC) is a powerful technique for probing biomolecular interactions. However, accurate determination of binding parameters—such as enthalpy and free energy—as well as associated uncertainties can be hindered by noise and concentration variability. Notably, the mathematical ambiguity surrounding analyte concentrations in standard binding models intrinsically limits the precision with which binding parameters, particularly binding enthalpies, can be determined. Here, we pres…
Isothermal Titration Calorimetry
Ambiguity
Titration
Calorimetry
Statistical Inference
Computer Science
Statistics
Artificial Intelligence
Mathematics
Chemistry
Physics
Physical Chemistry
Programming Language