Single-particle cryo-electron microscopy: Mathematical theory, computational challenges, and opportunities.

ABSTRACT: In recent years, an abundance of new molecular structures have been elucidated using cryo-electron microscopy (cryo-EM), largely due to advances in hardware technology and data processing techniques. Owing to these new exciting developments, cryo-EM was selected by Nature Methods as Method of the Year 2015, and the Nobel Prize in Chemistry 2017 was awarded to three pioneers in the field. The main goal of this article is to introduce the challenging and exciting computational tasks involved in reconstructing 3-D molecular structures by cryo-EM. Determining molecular structures requires a wide range of computational tools in a variety of fields, including signal processing, estimation and detection theory, high-dimensional statistics, convex and non-convex optimization, spectral algorithms,

SUBMITTER: Bendory T 

PROVIDER: S-EPMC7213211 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature