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DEMO-EM2: assembling protein complex structures from cryo-EM maps through intertwined chain and domain fitting.

Ziying ZhangYaxian CaiBiao ZhangWei ZhengPeter L FreddolinoGui-Jun ZhangXiao-Gen Zhou
Published in: Briefings in bioinformatics (2024)
The breakthrough in cryo-electron microscopy (cryo-EM) technology has led to an increasing number of density maps of biological macromolecules. However, constructing accurate protein complex atomic structures from cryo-EM maps remains a challenge. In this study, we extend our previously developed DEMO-EM to present DEMO-EM2, an automated method for constructing protein complex models from cryo-EM maps through an iterative assembly procedure intertwining chain- and domain-level matching and fitting for predicted chain models. The method was carefully evaluated on 27 cryo-electron tomography (cryo-ET) maps and 16 single-particle EM maps, where DEMO-EM2 models achieved an average TM-score of 0.92, outperforming those of state-of-the-art methods. The results demonstrate an efficient method that enables the rapid and reliable solution of challenging cryo-EM structure modeling problems.
Keyphrases
  • electron microscopy
  • high resolution
  • protein protein
  • amino acid
  • binding protein
  • mental health
  • magnetic resonance imaging
  • magnetic resonance
  • mass spectrometry
  • sensitive detection
  • contrast enhanced