Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps
- PMID: 31878333
- PMCID: PMC6982917
- DOI: 10.3390/molecules25010082
Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps
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.
Conflict of interest statement
The authors declare no conflict of interest.
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References
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- Glaeser R.M. How good can single-particle cryo-EM become? What remains before it approaches its physical limits? Annu. Rev. Biophys. 2019;48:45–61. - PubMed
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