Cryo_fit: Democratization of flexible fitting for cryo-EM

Doo Nam Kim, Nigel W. Moriarty, Serdal Kirmizialtin, Pavel V. Afonine, Billy Poon, Oleg V. Sobolev, Paul D. Adams, Karissa Sanbonmatsu

Research output: Contribution to journalArticlepeer-review


Cryo-electron microscopy (cryo-EM) is becoming a method of choice for describing native conformations of biomolecular complexes at high resolution. The rapid growth of cryo-EM in recent years has created a high demand for automated solutions, both in hardware and software. Flexible fitting of atomic models to three-dimensional (3D) cryo-EM reconstructions by molecular dynamics (MD) simulation is a popular technique but often requires technical expertise in computer simulation. This work introduces cryo_fit, a package for the automatic flexible fitting of atomic models in cryo-EM maps using MD simulation. The package is integrated with the Phenix software suite. The module was designed to automate the multiple steps of MD simulation in a reproducible manner, as well as facilitate refinement and validation through Phenix. Through the use of cryo_fit, scientists with little experience in MD simulation can produce high quality atomic models automatically and better exploit the potential of cryo-EM.

Original languageEnglish (US)
Pages (from-to)1-6
Number of pages6
JournalJournal of Structural Biology
Issue number1
StatePublished - Oct 1 2019


  • Correlation coefficient
  • Cryo-EM
  • Flexible fitting
  • Molecular dynamics
  • Phenix

ASJC Scopus subject areas

  • Structural Biology


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