/segger

Plugin to UCSF Chimera for segmenting Cryo-EM density maps

Primary LanguagePythonMIT LicenseMIT

Segger

Segger is a tool for segmenting 3D density maps obtained using cryo-electron microscopy (CryoEM) and fitting models to them.

If you use the Segment Map/Segger plugin to Chimera, citations are always appreciated:

  • (2010) Quantitative analysis of cryo-EM density map segmentation by watershed and scale-space filtering, and fitting of structures by alignment to regions JSB, PubMed
  • (2012) Comparison of Segger and other methods for segmentation and rigid-body docking of molecular components in cryo-EM density maps Biopolymers, Pubmed

For identifying Water & Ions (SWIM method), see Tutorials and Supplementary Materials in the following:

  • (2020) Resolving individual atoms of protein complex by cryo-electron microscopy Cell Research

Newer, related papers:

  • (2016) Resolution and Probabilistic Models of Components in CryoEM Maps of Mature P22 Bacteriophage Biophys. J., Pubmed
  • (2019) Segmentation and Comparative Modeling in an 8.6Å Cryo-EM Map of the Singapore Grouper Iridovirus Structure, Pubmed

Related to Q-scores, evaluation of maps and map-model fit:

  • (2020) Measurement of atom resolvability in cryo-EM maps with Q-scores Nature Methods
  • (2020) Resolving individual atoms of protein complex by cryo-electron microscopy Cell Research
  • (2021) Validation, analysis and annotation of cryo-EM structures Acta Cryst. Sect. D.