Accepted_test

Nowadays, structural methods play an important role in rational design of new drugs and development of therapies for diseases, among which small-angle X-ray scattering (SAXS) should be emphasized. SAXS allows studying non-crystalline samples of different nature with particle sizes from 1 to 200 nm and more. This method is non-invasive, does not require special sample preparation and provides valuable information on the structure and dynamics of the investigated objects under nearly physiological conditions. Until recently, the analysis of SAXS data from polydisperse multicomponent biomolecular systems was significantly limited and allowed only the evaluation of general structural characteristics averaged over an ensemble of particles. Recent advances in algorithm development allow one to extract much more detailed structural information for polydisperse systems. The methodological aspects of algorithms for the analysis of SAXS data are considered, they permit to estimate the volume fractions of components in protein and lipid mixtures, determine the shape of unknown intermediate states of macromolecules in solution, and decompose inline chromatography SAXS data from partially overlapping components. The developed methods expand the possibilities of analysing multicomponent biomolecular systems using SAXS data.