Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination.

ABSTRACT: Three-dimensional reconstruction of the electron-scattering potential of biological macromolecules from electron cryo-microscopy (cryo-EM) projection images is an ill-posed problem. The most popular cryo-EM software solutions to date rely on a regularization approach that is based on the prior assumption that the scattering potential varies smoothly over three-dimensional space. Although this approach has been hugely successful in recent years, the amount of prior knowledge that it exploits compares unfavorably with the knowledge about biological structures that has been accumulated over decades of research in structural biology. Here, a regularization framework for cryo-EM structure determination is presented that exploits prior knowledge about biological structures through a convolutiona

SUBMITTER: Kimanius D 

PROVIDER: S-EPMC7793004 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature