title: Global multi-method analysis of affinities and cooperativity in complex systems of macromolecular interactions.
abstract: Cooperativity, multisite, and multicomponent interactions are hallmarks of biological systems of interacting macromolecules. Their thermodynamic characterization is often very challenging due to the notoriously low information content of binding isotherms. We introduce a strategy for the global multimethod analysis of data from multiple techniques (GMMA) that exploits enhanced information content emerging from the mutual constraints of the simultaneous modeling of orthogonal observables from calorimetric, spectroscopic, hydrodynamic, biosensing, or other thermodynamic binding experiments. We describe new approaches to address statistical problems that arise in the analysis of dissimilar data sets. The GMMA approach can significantly increase the complexity of interacting systems that can be accurately thermodynamically characterized.
authors.affiliation: Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institutes of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA.
authors.forename: Huaying
authors.initials: H
authors.lastname: Zhao
authors.forename: Peter
authors.initials: P
authors.lastname: Schuck
mesh_terms: D002151:Calorimetry; D002623:Chemistry Techniques, Analytical / Q000379:methods*; D057446:Hydrodynamics; D046911:Macromolecular Substances / Q000737:chemistry / Q000378:metabolism*; D013057:Spectrum Analysis; D020349:Surface Plasmon Resonance; D013816:Thermodynamics
chemical_list: D046911:Macromolecular Substances