Methods for analysis of size-exclusion chromatography-small-angle X-ray scattering and reconstruction of protein scattering.

ABSTRACT: Size-exclusion chromatography in line with small-angle X-ray scattering (SEC-SAXS) has emerged as an important method for investigation of heterogeneous and self-associating systems, but presents specific challenges for data processing including buffer subtraction and analysis of overlapping peaks. This paper presents novel methods based on singular value decomposition (SVD) and Guinier-optimized linear combination (LC) to facilitate analysis of SEC-SAXS data sets and high-quality reconstruction of protein scattering directly from peak regions. It is shown that Guinier-optimized buffer subtraction can reduce common subtraction artifacts and that Guinier-optimized linear combination of significant SVD basis components improves signal-to-noise and allows reconstruction of protein scattering,

SUBMITTER: Malaby AW 

PROVIDER: S-EPMC4520288 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature