Format

Send to

Choose Destination
Molecules. 2019 Dec 24;25(1). pii: E82. doi: 10.3390/molecules25010082.

Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps.

Author information

1
Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA.
2
Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA.

Abstract

Cryo-electron microscopy (cryo-EM) has now become a widely used technique for structure determination of macromolecular complexes. For modeling molecular structures from density maps of different resolutions, many algorithms have been developed. These algorithms can be categorized into rigid fitting, flexible fitting, and de novo modeling methods. It is also observed that machine learning (ML) techniques have been increasingly applied following the rapid progress of the ML field. Here, we review these different categories of macromolecule structure modeling methods and discuss their advances over time.

KEYWORDS:

cryo-EM; cryo-electron microscopy; de novo modeling; density map; machine learning methods; protein modeling; structure fitting algorithms

PMID:
31878333
DOI:
10.3390/molecules25010082
Free full text

Supplemental Content

Full text links

Icon for Multidisciplinary Digital Publishing Institute (MDPI)
Loading ...
Support Center