Characterizing self-assembly in biological liquids with machine learning
Abstract
Wide-angle neutron scattering (WANS) is a powerful experimental technique to characterize atomic structures but has not been fully explored in biological molecules due to computational constraints. In this study, parallel Gaussian processes are shown to improve the computational efficiency of neutron scattering analysis algorithms sufficiently to enable the study of macromolecular biomolecules. A review of neutron scattering techniques and their ability to resolve macromolecular structure and function is also discussed.
Date
Jan 31, 2021 — Feb 1, 2021
Location
Salt Lake City, UT
