title: The boundary structure in the analysis of reversibly interacting systems by sedimentation velocity.
abstract: Sedimentation velocity (SV) experiments of heterogeneous interacting systems exhibit characteristic boundary structures that can usually be very easily recognized and quantified. For slowly interacting systems, the boundaries represent concentrations of macromolecular species sedimenting at different rates, and they can be interpreted directly with population models based solely on the mass action law. For fast reactions, migration and chemical reactions are coupled, and different, but equally easily discernable boundary structures appear. However, these features have not been commonly utilized for data analysis, for the lack of an intuitive and computationally simple model. The recently introduced effective particle theory (EPT) provides a suitable framework. Here, we review the motivation and theoretical basis of EPT, and explore practical aspects for its application. We introduce an EPT-based design tool for SV experiments of heterogeneous interactions in the software SEDPHAT. As a practical tool for the first step of data analysis, we describe how the boundary resolution of the sedimentation coefficient distribution c(s) can be further improved with a Bayesian adjustment of maximum entropy regularization to the case of heterogeneous interactions between molecules that have been previously studied separately. This can facilitate extracting the characteristic boundary features by integration of c(s). In a second step, these are assembled into isotherms as a function of total loading concentrations and fitted with EPT. Methods for addressing concentration errors in isotherms are discussed. Finally, in an experimental model system of alpha-chymotrypsin interacting with soybean trypsin inhibitor, we show that EPT provides an excellent description of the experimental sedimentation boundary structure of fast interacting systems.
authors.affiliation: Dynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Huaying
authors.initials: H
authors.lastname: Zhao
authors.forename: Andrea
authors.initials: A
authors.lastname: Balbo
authors.forename: Patrick H
authors.initials: PH
authors.lastname: Brown
authors.forename: Peter
authors.initials: P
authors.lastname: Schuck
mesh_terms: D001499:Bayes Theorem; D002918:Chymotrypsin / Q000737:chemistry*; D019277:Entropy; D007700:Kinetics; D008956:Models, Chemical; D030262:Soybean Proteins / Q000737:chemistry*; D014361:Trypsin Inhibitors / Q000737:chemistry*; D014461:Ultracentrifugation / Q000379:methods*
chemical_list: D030262:Soybean Proteins; D014361:Trypsin Inhibitors; D002918:Chymotrypsin; C117608:alpha-chymotrypsin