SAXSDom

SAXSDom is a software tool for improving the modeling of multidomain protein structures by integrating information from small-angle X-ray scattering (SAXS) experiments with a probabilistic modeling approach called the input-output hidden Markov model. The tool addresses the challenge of assembling high-quality models of individual protein domains into a complete tertiary structure when templates for the entire sequence are unavailable.

The method incorporates four SAXS-based scoring functions to guide the assembly of individual domain structures. SAXSDom was evaluated on two public datasets containing multidomain proteins, and improved accuracy in domain assembly for most of the tested proteins was demonstrated compared to modeling without SAXS data.