Analysis of self-associating proteins by singular value decomposition of solution scattering data.

ABSTRACT: We describe a method by which a single experiment can reveal both association model (pathway and constants) and low-resolution structures of a self-associating system. Small-angle scattering data are collected from solutions at a range of concentrations. These scattering data curves are mass-weighted linear combinations of the scattering from each oligomer. Singular value decomposition of the data yields a set of basis vectors from which the scattering curve for each oligomer is reconstructed using coefficients that depend on the association model. A search identifies the association pathway and constants that provide the best agreement between reconstructed and observed data. Using simulated data with realistic noise, our method finds the correct pathway and association constants. Dependi

SUBMITTER: Williamson TE 

PROVIDER: S-EPMC2397332 | biostudies-literature | 2008 Jun

REPOSITORIES: biostudies-literature